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Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Contrastive Multi-View Representation Learning on Graphs
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Loss Function Search for Face Recognition
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Laplacian Regularized Few-Shot Learning
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Optimizing for the Future in Non-Stationary MDPs
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Streaming Submodular Maximization under a k-Set System Constraint
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Randomized Smoothing of All Shapes and Sizes
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Layered Sampling for Robust Optimization Problems
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Searching to Exploit Memorization Effect in Learning with Noisy Labels
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Asynchronous Coagent Networks
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
On the Noisy Gradient Descent that Generalizes as SGD
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Stochastic Optimization for Non-convex Inf-Projection Problems
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Taylor Expansion Policy Optimization
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Towards Understanding the Dynamics of the First-Order Adversaries
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
LEEP: A New Measure to Evaluate Transferability of Learned Representations
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Fair Learning with Private Demographic Data
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
A Simple Framework for Contrastive Learning of Visual Representations
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Individual Fairness for k-Clustering
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
ControlVAE: Controllable Variational Autoencoder
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Two Routes to Scalable Credit Assignment without Weight Symmetry
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Training Binary Neural Networks through Learning with Noisy Supervision
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
FetchSGD: Communication-Efficient Federated Learning with Sketching
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Efficient nonparametric statistical inference on population feature importance using Shapley values
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Improving Generative Imagination in Object-Centric World Models
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Full Law Identification in Graphical Models of Missing Data: Completeness Results
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Familywise Error Rate Control by Interactive Unmasking
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Evaluating Lossy Compression Rates of Deep Generative Models
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Tensor denoising and completion based on ordinal observations
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Stochastic Regret Minimization in Extensive-Form Games
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Multigrid Neural Memory
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Mutual Transfer Learning for Massive Data
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Zeno++: Robust Fully Asynchronous SGD
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Improving the Gating Mechanism of Recurrent Neural Networks
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Streaming k-Submodular Maximization under Noise subject to Size Constraint
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Online Learning for Active Cache Synchronization
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
On Variational Learning of Controllable Representations for Text without Supervision
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
FedBoost: A Communication-Efficient Algorithm for Federated Learning
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Nested Subspace Arrangement for Representation of Relational Data
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Variational Bayesian Quantization
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Collaborative Machine Learning with Incentive-Aware Model Rewards
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Interpolation between Residual and Non-Residual Networks
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
DeltaGrad: Rapid retraining of machine learning models
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Generating Programmatic Referring Expressions via Program Synthesis
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Semismooth Newton Algorithm for Efficient Projections onto $\ell_{1, \infty}$-norm Ball
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Provably Efficient Exploration in Policy Optimization
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Reverse-engineering deep ReLU networks
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
On the Generalization Effects of Linear Transformations in Data Augmentation
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Self-Concordant Analysis of Frank-Wolfe Algorithms
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generative Flows with Matrix Exponential
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Private Reinforcement Learning with PAC and Regret Guarantees
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
On the Global Optimality of Model-Agnostic Meta-Learning
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Simple and Deep Graph Convolutional Networks
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Scalable Nearest Neighbor Search for Optimal Transport
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Explaining Groups of Points in Low-Dimensional Representations
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
LTF: A Label Transformation Framework for Correcting Label Shift
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Confidence-Aware Learning for Deep Neural Networks
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Learning with Multiple Complementary Labels
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Differentiating through the Fréchet Mean
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Evaluating the Performance of Reinforcement Learning Algorithms
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
A Free-Energy Principle for Representation Learning
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Deep Divergence Learning
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Customizing ML Predictions for Online Algorithms
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Recurrent Hierarchical Topic-Guided RNN for Language Generation
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Data Amplification: Instance-Optimal Property Estimation
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Implicit Regularization in $\beta$-VAEs
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Accelerated Stochastic Gradient-free and Projection-free Methods
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Causal Strategic Linear Regression
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Fair Generative Modeling via Weak Supervision
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Distance Metric Learning with Joint Representation Diversification
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
What Can Learned Intrinsic Rewards Capture?
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Faster Graph Embeddings via Coarsening
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Maximum-and-Concatenation Networks
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
PENNI: Pruned Kernel Sharing for Efficient CNN Inference
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
The Effect of Natural Distribution Shift on Question Answering Models
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Combinatorial Pure Exploration for Dueling Bandit
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
From Importance Sampling to Doubly Robust Policy Gradient
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT) @ Virtual
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints
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Slides]
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Problems with Shapley-value-based explanations as feature importance measures
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 06:00 PM -- 06:45 PM (PDT)
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
On Second-Order Group Influence Functions for Black-Box Predictions
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Differentially Private Set Union
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Estimating the Number and Effect Sizes of Non-null Hypotheses
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Is Local SGD Better than Minibatch SGD?
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Feature Noise Induces Loss Discrepancy Across Groups
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Closing the convergence gap of SGD without replacement
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Boosting for Control of Dynamical Systems
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
DROCC: Deep Robust One-Class Classification
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Working Memory Graphs
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Representations for Stable Off-Policy Reinforcement Learning
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Neural Clustering Processes
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Overfitting in adversarially robust deep learning
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
An EM Approach to Non-autoregressive Conditional Sequence Generation
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Invariant Risk Minimization Games
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Strategyproof Mean Estimation from Multiple-Choice Questions
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Distributed Online Optimization over a Heterogeneous Network
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Angular Visual Hardness
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Discount Factor as a Regularizer in Reinforcement Learning
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Stronger and Faster Wasserstein Adversarial Attacks
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Parameterized Rate-Distortion Stochastic Encoder
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Meta-learning for Mixed Linear Regression
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Nonparametric Score Estimators
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Batch Reinforcement Learning with Hyperparameter Gradients
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Adversarial Neural Pruning with Latent Vulnerability Suppression
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
An end-to-end approach for the verification problem: learning the right distance
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
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Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Finite-Time Convergence in Continuous-Time Optimization
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Parametric Gaussian Process Regressors
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Detecting Out-of-Distribution Examples with Gram Matrices
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Oracle Efficient Private Non-Convex Optimization
[
Slides]
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
The Tree Ensemble Layer: Differentiability meets Conditional Computation
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT) @ Virtual
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Scalable Deep Generative Modeling for Sparse Graphs
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
How Good is the Bayes Posterior in Deep Neural Networks Really?
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
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Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Lookahead-Bounded Q-learning
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Disentangling Trainability and Generalization in Deep Neural Networks
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Neural Contextual Bandits with UCB-based Exploration
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Provable guarantees for decision tree induction: the agnostic setting
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Learning and Sampling of Atomic Interventions from Observations
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Two Simple Ways to Learn Individual Fairness Metrics from Data
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Source Separation with Deep Generative Priors
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Non-Autoregressive Neural Text-to-Speech
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
A Chance-Constrained Generative Framework for Sequence Optimization
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Feature Quantization Improves GAN Training
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Description Based Text Classification with Reinforcement Learning
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Low-loss connection of weight vectors: distribution-based approaches
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Streaming Coresets for Symmetric Tensor Factorization
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Retrieval Augmented Language Model Pre-Training
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Tightening Exploration in Upper Confidence Reinforcement Learning
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
On Semi-parametric Inference for BART
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Variational Imitation Learning with Diverse-quality Demonstrations
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Obtaining Adjustable Regularization for Free via Iterate Averaging
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Variance Reduction in Stochastic Particle-Optimization Sampling
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Hierarchically Decoupled Imitation For Morphological Transfer
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Robustness to Spurious Correlations via Human Annotations
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Recovery of Sparse Signals from a Mixture of Linear Samples
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Being Bayesian about Categorical Probability
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Structured Policy Iteration for Linear Quadratic Regulator
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Learning Algebraic Multigrid Using Graph Neural Networks
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Variable Skipping for Autoregressive Range Density Estimation
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Deep k-NN for Noisy Labels
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Nearly Linear Row Sampling Algorithm for Quantile Regression
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Fast OSCAR and OWL Regression via Safe Screening Rules
[
Slides]
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Fiduciary Bandits
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Context Aware Local Differential Privacy
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
The Many Shapley Values for Model Explanation
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Error Estimation for Sketched SVD via the Bootstrap
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Harmonic Decompositions of Convolutional Networks
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Deep Isometric Learning for Visual Recognition
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Learning To Stop While Learning To Predict
[
Slides]
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
On the Theoretical Properties of the Network Jackknife
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Topological Autoencoders
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Federated Learning with Only Positive Labels
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Online Control of the False Coverage Rate and False Sign Rate
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Generative Pretraining From Pixels
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Revisiting Spatial Invariance with Low-Rank Local Connectivity
[
Slides]
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Structured Prediction with Partial Labelling through the Infimum Loss
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
A simpler approach to accelerated optimization: iterative averaging meets optimism
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
SoftSort: A Continuous Relaxation for the argsort Operator
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Training Deep Energy-Based Models with f-Divergence Minimization
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Selective Dyna-style Planning Under Limited Model Capacity
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
How recurrent networks implement contextual processing in sentiment analysis
[
Slides]
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Optimal Robust Learning of Discrete Distributions from Batches
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
When are Non-Parametric Methods Robust?
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Incremental Sampling Without Replacement for Sequence Models
[
Slides]
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Fully Parallel Hyperparameter Search: Reshaped Space-Filling
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Automatic Shortcut Removal for Self-Supervised Representation Learning
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
On Learning Sets of Symmetric Elements
[
Slides]
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Logarithmic Regret for Adversarial Online Control
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Explainable k-Means and k-Medians Clustering
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Understanding and Mitigating the Tradeoff between Robustness and Accuracy
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Domain Adaptive Imitation Learning
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Consistent Structured Prediction with Max-Min Margin Markov Networks
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Stochastically Dominant Distributional Reinforcement Learning
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Quantum Expectation-Maximization for Gaussian mixture models
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Explainable and Discourse Topic-aware Neural Language Understanding
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
A Swiss Army Knife for Minimax Optimal Transport
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
When Explanations Lie: Why Many Modified BP Attributions Fail
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Online metric algorithms with untrusted predictions
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Optimization and Analysis of the pAp@k Metric for Recommender Systems
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
LowFER: Low-rank Bilinear Pooling for Link Prediction
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Bandits with Adversarial Scaling
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Near-linear time Gaussian process optimization with adaptive batching and resparsification
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Smaller, more accurate regression forests using tree alternating optimization
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Information-Theoretic Local Minima Characterization and Regularization
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Which Tasks Should Be Learned Together in Multi-task Learning?
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Kernel Methods for Cooperative Multi-Agent Contextual Bandits
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
Adversarial Robustness for Code
[
Slides]
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Word-Level Speech Recognition With a Letter to Word Encoder
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Weakly-Supervised Disentanglement Without Compromises
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Normalizing Flows on Tori and Spheres
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
On Contrastive Learning for Likelihood-free Inference
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Meta-Learning with Shared Amortized Variational Inference
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Learning the piece-wise constant graph structure of a varying Ising model
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Ready Policy One: World Building Through Active Learning
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Multi-step Greedy Reinforcement Learning Algorithms
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Entropy Minimization In Emergent Languages
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning Portable Representations for High-Level Planning
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
TaskNorm: Rethinking Batch Normalization for Meta-Learning
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
A distributional view on multi-objective policy optimization
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Learning to Simulate Complex Physics with Graph Networks
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
Bayesian Sparsification of Deep C-valued Networks
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
IPBoost – Non-Convex Boosting via Integer Programming
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Partial Trace Regression and Low-Rank Kraus Decomposition
[
Slides]
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning disconnected manifolds: a no GAN's land
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Implicit differentiation of Lasso-type models for hyperparameter optimization
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Adaptive Sampling for Estimating Probability Distributions
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
[
Slides]
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Generalization to New Actions in Reinforcement Learning
[
Slides]
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Bayesian Differential Privacy for Machine Learning
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Meta-learning with Stochastic Linear Bandits
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
[
Slides]
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT) @ Virtual
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
[
Slides]
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Latent Space Factorisation and Manipulation via Matrix Subspace Projection
[
Slides]
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Online Convex Optimization in the Random Order Model
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Growing Action Spaces
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Constant Curvature Graph Convolutional Networks
[
Slides]
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT) @ Virtual
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization
[
Slides]
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Supervised learning: no loss no cry
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Non-Stationary Delayed Bandits with Intermediate Observations
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Graph Random Neural Features for Distance-Preserving Graph Representations
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT) @ Virtual
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
[
Slides]
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
StochasticRank: Global Optimization of Scale-Free Discrete Functions
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Temporal Logic Point Processes
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
An Explicitly Relational Neural Network Architecture
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Sequential Transfer in Reinforcement Learning with a Generative Model
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Optimal Randomized First-Order Methods for Least-Squares Problems
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Inexact Tensor Methods with Dynamic Accuracies
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Predictive Sampling with Forecasting Autoregressive Models
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Optimal Estimator for Unlabeled Linear Regression
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
[
Slides]
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Continuously Indexed Domain Adaptation
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT) @ Virtual
Debiased Sinkhorn barycenters
[
Slides]
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Voice Separation with an Unknown Number of Multiple Speakers
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Learning Reasoning Strategies in End-to-End Differentiable Proving
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Why bigger is not always better: on finite and infinite neural networks
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Learning Similarity Metrics for Numerical Simulations
[
Slides]
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Decentralised Learning with Random Features and Distributed Gradient Descent
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Extreme Multi-label Classification from Aggregated Labels
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT) @ Virtual
On the Iteration Complexity of Hypergradient Computation
[
Slides]
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Training Neural Networks for and by Interpolation
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Fast Differentiable Sorting and Ranking
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Thompson Sampling via Local Uncertainty
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
[
Slides]
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Why Are Learned Indexes So Effective?
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT) @ Virtual
Improving Molecular Design by Stochastic Iterative Target Augmentation
[
Slides]
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Infinite attention: NNGP and NTK for deep attention networks
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT) @ Virtual
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure
[
Slides]
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT) @ Virtual
Knowing The What But Not The Where in Bayesian Optimization
[
Slides]
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 01:00 AM -- 01:45 AM (PDT)
Finding trainable sparse networks through Neural Tangent Transfer
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Simple and sharp analysis of k-means||
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Interferometric Graph Transform: a Deep Unsupervised Graph Representation
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Invertible generative models for inverse problems: mitigating representation error and dataset bias
[
Slides]
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Invariant Causal Prediction for Block MDPs
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
When deep denoising meets iterative phase retrieval
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Unsupervised Speech Decomposition via Triple Information Bottleneck
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Thompson Sampling Algorithms for Mean-Variance Bandits
[
Slides]
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
[
Slides]
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Logistic Regression for Massive Data with Rare Events
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
[
Slides]
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
[
Slides]
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Efficiently Learning Adversarially Robust Halfspaces with Noise
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models
[
Slides]
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Learning to Learn Kernels with Variational Random Features
[
Slides]
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Intrinsic Reward Driven Imitation Learning via Generative Model
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Learning with Feature and Distribution Evolvable Streams
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
[
Slides]
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Learning De-biased Representations with Biased Representations
Poster
Tue Jul 14 07:00 PM -- 07:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels
Poster
Tue Jul 14 07:00 PM -- 07:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Data preprocessing to mitigate bias: A maximum entropy based approach
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Variational Label Enhancement
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Second-Order Provable Defenses against Adversarial Attacks
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Optimal approximation for unconstrained non-submodular minimization
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Median Matrix Completion: from Embarrassment to Optimality
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Moniqua: Modulo Quantized Communication in Decentralized SGD
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Neural Architecture Search in A Proxy Validation Loss Landscape
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Efficient Intervention Design for Causal Discovery with Latents
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Learning Opinions in Social Networks
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Adversarial Risk via Optimal Transport and Optimal Couplings
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Channel Equilibrium Networks for Learning Deep Representation
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Accelerating Large-Scale Inference with Anisotropic Vector Quantization
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Adaptive Estimator Selection for Off-Policy Evaluation
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Preference Modeling with Context-Dependent Salient Features
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Optimal Bounds between f-Divergences and Integral Probability Metrics
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Privately Learning Markov Random Fields
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Label-Noise Robust Domain Adaptation
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Hierarchical Generation of Molecular Graphs using Structural Motifs
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
VFlow: More Expressive Generative Flows with Variational Data Augmentation
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Causal Modeling for Fairness In Dynamical Systems
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Sequential Cooperative Bayesian Inference
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Reinforcement Learning for Integer Programming: Learning to Cut
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
What can I do here? A Theory of Affordances in Reinforcement Learning
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Fair k-Centers via Maximum Matching
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Stabilizing Transformers for Reinforcement Learning
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Online Bayesian Moment Matching based SAT Solver Heuristics
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Robust and Stable Black Box Explanations
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Learning What to Defer for Maximum Independent Sets
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
The Differentiable Cross-Entropy Method
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Message Passing Least Squares Framework and its Application to Rotation Synchronization
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Operation-Aware Soft Channel Pruning using Differentiable Masks
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Robust Bayesian Classification Using An Optimistic Score Ratio
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
On Learning Language-Invariant Representations for Universal Machine Translation
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Identifying Statistical Bias in Dataset Replication
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
An Accelerated DFO Algorithm for Finite-sum Convex Functions
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
An Optimistic Perspective on Offline Deep Reinforcement Learning
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
One Size Fits All: Can We Train One Denoiser for All Noise Levels?
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Private Query Release Assisted by Public Data
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Causal Effect Identifiability under Partial-Observability
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Implicit Generative Modeling for Efficient Exploration
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Population-Based Black-Box Optimization for Biological Sequence Design
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Learnable Group Transform For Time-Series
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Progressive Graph Learning for Open-Set Domain Adaptation
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Consistent Estimators for Learning to Defer to an Expert
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Learning Quadratic Games on Networks
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT) @ Virtual
Abstraction Mechanisms Predict Generalization in Deep Neural Networks
[
Slides]
Poster
Wed Jul 15 05:00 AM -- 05:45 AM & Wed Jul 15 04:00 PM -- 04:45 PM (PDT)
Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Coresets for Clustering in Graphs of Bounded Treewidth
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
On conditional versus marginal bias in multi-armed bandits
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Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Circuit-Based Intrinsic Methods to Detect Overfitting
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Black-box Certification and Learning under Adversarial Perturbations
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Predicting deliberative outcomes
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Strength from Weakness: Fast Learning Using Weak Supervision
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Learning and Evaluating Contextual Embedding of Source Code
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Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Boosting Deep Neural Network Efficiency with Dual-Module Inference
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
A general recurrent state space framework for modeling neural dynamics during decision-making
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Representing Unordered Data Using Complex-Weighted Multiset Automata
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Efficient Policy Learning from Surrogate-Loss Classification Reductions
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Inductive Relation Prediction by Subgraph Reasoning
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Self-Modulating Nonparametric Event-Tensor Factorization
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Undirected Graphical Models as Approximate Posteriors
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Planning to Explore via Self-Supervised World Models
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Decoupled Greedy Learning of CNNs
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Identifying the Reward Function by Anchor Actions
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Predictive Multiplicity in Classification
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
(Locally) Differentially Private Combinatorial Semi-Bandits
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Sets Clustering
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Randomly Projected Additive Gaussian Processes for Regression
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Structure Adaptive Algorithms for Stochastic Bandits
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Alleviating Privacy Attacks via Causal Learning
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT) @ Virtual
On Coresets for Regularized Regression
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Class-Weighted Classification: Trade-offs and Robust Approaches
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Optimal transport mapping via input convex neural networks
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Understanding Self-Training for Gradual Domain Adaptation
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Adversarial Mutual Information for Text Generation
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Private Outsourced Bayesian Optimization
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Individual Calibration with Randomized Forecasting
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT) @ Virtual
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Budgeted Online Influence Maximization
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Communication-Efficient Distributed PCA by Riemannian Optimization
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Safe screening rules for L0-regression from Perspective Relaxations
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
The Non-IID Data Quagmire of Decentralized Machine Learning
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Frustratingly Simple Few-Shot Object Detection
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Learning to Score Behaviors for Guided Policy Optimization
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT) @ Virtual
Choice Set Optimization Under Discrete Choice Models of Group Decisions
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Online mirror descent and dual averaging: keeping pace in the dynamic case
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Robust Outlier Arm Identification
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Adversarial Filters of Dataset Biases
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Imputer: Sequence Modelling via Imputation and Dynamic Programming
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Optimizing Black-box Metrics with Adaptive Surrogates
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Negative Sampling in Semi-Supervised learning
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Sparse Shrunk Additive Models
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Sample Amplification: Increasing Dataset Size even when Learning is Impossible
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Proper Network Interpretability Helps Adversarial Robustness in Classification
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Stochastic Gradient and Langevin Processes
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Approximation Capabilities of Neural ODEs and Invertible Residual Networks
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification
[
Slides]
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
[
Slides]
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Margin-aware Adversarial Domain Adaptation with Optimal Transport
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Flexible and Efficient Long-Range Planning Through Curious Exploration
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Optimal Sequential Maximization: One Interview is Enough!
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Cooperative Multi-Agent Bandits with Heavy Tails
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Set Functions for Time Series
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
[
Slides]
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
On the consistency of top-k surrogate losses
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
[
Slides]
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Adversarial Robustness Against the Union of Multiple Perturbation Models
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Hallucinative Topological Memory for Zero-Shot Visual Planning
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Dual Mirror Descent for Online Allocation Problems
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Accountable Off-Policy Evaluation With Kernel Bellman Statistics
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Provable Self-Play Algorithms for Competitive Reinforcement Learning
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Ordinal Non-negative Matrix Factorization for Recommendation
[
Slides]
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT) @ Virtual
Structural Language Models of Code
[
Slides]
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
Poster
Wed Jul 15 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT) @ Virtual
Learning to Simulate and Design for Structural Engineering
[
Slides]
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Continuous-time Lower Bounds for Gradient-based Algorithms
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Quantized Decentralized Stochastic Learning over Directed Graphs
[
Slides]
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT) @ Virtual
NetGAN without GAN: From Random Walks to Low-Rank Approximations
[
Slides]
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Time-Consistent Self-Supervision for Semi-Supervised Learning
[
Slides]
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Correlation Clustering with Asymmetric Classification Errors
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Self-supervised Label Augmentation via Input Transformations
[
Slides]
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Single Point Transductive Prediction
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Batch Stationary Distribution Estimation
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
AdaScale SGD: A User-Friendly Algorithm for Distributed Training
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
A Game Theoretic Framework for Model Based Reinforcement Learning
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
How to Solve Fair k-Center in Massive Data Models
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Data Valuation using Reinforcement Learning
[
Slides]
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Efficiently Solving MDPs with Stochastic Mirror Descent
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Fast computation of Nash Equilibria in Imperfect Information Games
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Provable Representation Learning for Imitation Learning via Bi-level Optimization
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Hypernetwork approach to generating point clouds
[
Slides]
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Evolutionary Topology Search for Tensor Network Decomposition
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
[
Slides]
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Stochastic bandits with arm-dependent delays
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Small-GAN: Speeding up GAN Training using Core-Sets
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Learning Calibratable Policies using Programmatic Style-Consistency
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Handling the Positive-Definite Constraint in the Bayesian Learning Rule
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
[
Slides]
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Learning Representations that Support Extrapolation
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Hierarchical Verification for Adversarial Robustness
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Robust Graph Representation Learning via Neural Sparsification
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Feature Selection using Stochastic Gates
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Encoding Musical Style with Transformer Autoencoders
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Option Discovery in the Absence of Rewards with Manifold Analysis
[
Slides]
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Deep Gaussian Markov Random Fields
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
The Implicit and Explicit Regularization Effects of Dropout
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
DeBayes: a Bayesian Method for Debiasing Network Embeddings
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
PolyGen: An Autoregressive Generative Model of 3D Meshes
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
“Other-Play” for Zero-Shot Coordination
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT) @ Virtual
From Local SGD to Local Fixed-Point Methods for Federated Learning
[
Slides]
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT) @ Virtual
On the Number of Linear Regions of Convolutional Neural Networks
[
Slides]
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Learning Near Optimal Policies with Low Inherent Bellman Error
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Multidimensional Shape Constraints
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Gamification of Pure Exploration for Linear Bandits
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
The Shapley Taylor Interaction Index
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT) @ Virtual
Revisiting Fundamentals of Experience Replay
[
Slides]
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Fairwashing explanations with off-manifold detergent
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
A Geometric Approach to Archetypal Analysis via Sparse Projections
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
PackIt: A Virtual Environment for Geometric Planning
Poster
Wed Jul 15 11:00 AM -- 11:45 AM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT) @ Virtual
Adaptive Gradient Descent without Descent
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
CoMic: Complementary Task Learning & Mimicry for Reusable Skills
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
T-Basis: a Compact Representation for Neural Networks
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Learning to Encode Position for Transformer with Continuous Dynamical Model
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Radioactive data: tracing through training
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Equivariant Neural Rendering
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Too Relaxed to Be Fair
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Optimal Continual Learning has Perfect Memory and is NP-hard
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Deep Coordination Graphs
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Convergence Rates of Variational Inference in Sparse Deep Learning
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Towards a General Theory of Infinite-Width Limits of Neural Classifiers
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
k-means++: few more steps yield constant approximation
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Automatic Reparameterisation of Probabilistic Programs
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
No-Regret Exploration in Goal-Oriented Reinforcement Learning
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Implicit Regularization of Random Feature Models
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Curvature-corrected learning dynamics in deep neural networks
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
A new regret analysis for Adam-type algorithms
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Unique Properties of Flat Minima in Deep Networks
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Adversarial Nonnegative Matrix Factorization
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Scalable Exact Inference in Multi-Output Gaussian Processes
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
[
Slides]
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
Poster
Wed Jul 15 12:00 PM -- 12:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Training Linear Neural Networks: Non-Local Convergence and Complexity Results
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Involutive MCMC: a Unifying Framework
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Implicit Geometric Regularization for Learning Shapes
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Up or Down? Adaptive Rounding for Post-Training Quantization
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Continuous Time Bayesian Networks with Clocks
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Adding seemingly uninformative labels helps in low data regimes
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Fast Adaptation to New Environments via Policy-Dynamics Value Functions
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Super-efficiency of automatic differentiation for functions defined as a minimum
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Self-Attentive Hawkes Process
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
On the Sample Complexity of Adversarial Multi-Source PAC Learning
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
On the Generalization Benefit of Noise in Stochastic Gradient Descent
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Attentive Group Equivariant Convolutional Networks
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Quantum Boosting
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Interference and Generalization in Temporal Difference Learning
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Leveraging Frequency Analysis for Deep Fake Image Recognition
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Generalisation error in learning with random features and the hidden manifold model
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT) @ Virtual
Boosting Frank-Wolfe by Chasing Gradients
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Scalable and Efficient Comparison-based Search without Features
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
[
Slides]
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Growing Adaptive Multi-hyperplane Machines
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Discriminative Adversarial Search for Abstractive Summarization
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 12:00 AM -- 12:45 AM (PDT)
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach
Poster
Wed Jul 15 01:00 PM -- 01:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization
[
Slides]
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Lifted Disjoint Paths with Application in Multiple Object Tracking
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Sparse Gaussian Processes with Spherical Harmonic Features
[
Slides]
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT) @ Virtual
It's Not What Machines Can Learn, It's What We Cannot Teach
[
Slides]
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Explicit Gradient Learning for Black-Box Optimization
[
Slides]
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Small Data, Big Decisions: Model Selection in the Small-Data Regime
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT)
DeepCoDA: personalized interpretability for compositional health data
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
[
Slides]
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Healing Products of Gaussian Process Experts
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT) @ Virtual
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
[
Slides]
Poster
Wed Jul 15 02:00 PM -- 02:45 PM & Thu Jul 16 01:00 AM -- 01:45 AM (PDT) @ Virtual
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs
[
Slides]
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
MetaFun: Meta-Learning with Iterative Functional Updates
[
Slides]
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Statistically Efficient Off-Policy Policy Gradients
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
DINO: Distributed Newton-Type Optimization Method
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
Agent57: Outperforming the Atari Human Benchmark
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Haar Graph Pooling
[
Slides]
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT) @ Virtual
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
[
Slides]
Poster
Wed Jul 15 03:00 PM -- 03:45 PM & Thu Jul 16 02:00 AM -- 02:45 AM (PDT)
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Optimization from Structured Samples for Coverage Functions
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT) @ Virtual
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
[
Slides]
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT) @ Virtual
Bidirectional Model-based Policy Optimization
[
Slides]
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Boosted Histogram Transform for Regression
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
On Lp-norm Robustness of Ensemble Decision Stumps and Trees
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Automated Synthetic-to-Real Generalization
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
On Relativistic f-Divergences
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Non-separable Non-stationary random fields
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT) @ Virtual
From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics
[
Slides]
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Online Dense Subgraph Discovery via Blurred-Graph Feedback
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT) @ Virtual
Adversarial Robustness via Runtime Masking and Cleansing
[
Slides]
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT) @ Virtual
Safe Reinforcement Learning in Constrained Markov Decision Processes
[
Slides]
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (PDT)
Feature-map-level Online Adversarial Knowledge Distillation
Poster
Wed Jul 15 04:00 PM -- 04:45 PM & Thu Jul 16 03:00 AM -- 03:45 AM (PDT)
Spread Divergence
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Differentiable Product Quantization for End-to-End Embedding Compression
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Reward-Free Exploration for Reinforcement Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Upper bounds for Model-Free Row-Sparse Principal Component Analysis
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Multi-Agent Routing Value Iteration Network
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Reducing Sampling Error in Batch Temporal Difference Learning
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Reinforcement Learning with Smooth Policy
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Universal Asymptotic Optimality of Polyak Momentum
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
p-Norm Flow Diffusion for Local Graph Clustering
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Provably Efficient Model-based Policy Adaptation
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Causal Inference using Gaussian Processes with Structured Latent Confounders
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Robustifying Sequential Neural Processes
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Optimizing Dynamic Structures with Bayesian Generative Search
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Linear Lower Bounds and Conditioning of Differentiable Games
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Acceleration through spectral density estimation
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
A Pairwise Fair and Community-preserving Approach to k-Center Clustering
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
T-GD: Transferable GAN-generated Images Detection Framework
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
On the Expressivity of Neural Networks for Deep Reinforcement Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Almost Tune-Free Variance Reduction
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Rigging the Lottery: Making All Tickets Winners
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Concise Explanations of Neural Networks using Adversarial Training
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Online Learning with Dependent Stochastic Feedback Graphs
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning Robot Skills with Temporal Variational Inference
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Estimation of Bounds on Potential Outcomes For Decision Making
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Continuous Graph Neural Networks
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Input-Sparsity Low Rank Approximation in Schatten Norm
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
GraphOpt: Learning Optimization Models of Graph Formation
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Does label smoothing mitigate label noise?
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Born-again Tree Ensembles
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
New Oracle-Efficient Algorithms for Private Synthetic Data Release
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Piecewise Linear Regression via a Difference of Convex Functions
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Invariant Rationalization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
FACT: A Diagnostic for Group Fairness Trade-offs
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Strategic Classification is Causal Modeling in Disguise
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Tails of Lipschitz Triangular Flows
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Improving Robustness of Deep-Learning-Based Image Reconstruction
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Scalable Differentiable Physics for Learning and Control
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bridging the Gap Between f-GANs and Wasserstein GANs
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Optimal Tree Models under Beam Search
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Latent Variable Modelling with Hyperbolic Normalizing Flows
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Countering Language Drift with Seeded Iterated Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Transparency Promotion with Model-Agnostic Linear Competitors
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning with Bounded Instance- and Label-dependent Label Noise
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Universal Equivariant Multilayer Perceptrons
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
BINOCULARS for efficient, nonmyopic sequential experimental design
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Do GANs always have Nash equilibria?
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Improving Transformer Optimization Through Better Initialization
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bandits for BMO Functions
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Calibration, Entropy Rates, and Memory in Language Models
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Enhancing Simple Models by Exploiting What They Already Know
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Robust Pricing in Dynamic Mechanism Design
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Black-Box Methods for Restoring Monotonicity
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Constrained Markov Decision Processes via Backward Value Functions
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Performative Prediction
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Region-Based Active Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Calibrated Surrogates for the Multi-Label F-Measure
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Mapping natural-language problems to formal-language solutions using structured neural representations
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Adaptive Adversarial Multi-task Representation Learning
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Do RNN and LSTM have Long Memory?
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Graph Homomorphism Convolution
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sequence Generation with Mixed Representations
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Learning the Valuations of a $k$-demand Agent
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Meta Variance Transfer: Learning to Augment from the Others
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
On Breaking Deep Generative Model-based Defenses and Beyond
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Error-Bounded Correction of Noisy Labels
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Task Understanding from Confusing Multi-task Data
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Privately detecting changes in unknown distributions
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Stochastic Flows and Geometric Optimization on the Orthogonal Group
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Robustness to Programmable String Transformations via Augmented Abstract Training
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Interpreting Robust Optimization via Adversarial Influence Functions
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Learning Selection Strategies in Buchberger’s Algorithm
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On a projective ensemble approach to two sample test for equality of distributions
[
Slides]
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Low-Rank Bottleneck in Multi-head Attention Models
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
Better depth-width trade-offs for neural networks through the lens of dynamical systems
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Optimal Transport for Cross-Domain Alignment
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Normalized Loss Functions for Deep Learning with Noisy Labels
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On hyperparameter tuning in general clustering problemsm
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Perceptual Generative Autoencoders
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Semi-Supervised StyleGAN for Disentanglement Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Simultaneous Inference for Massive Data: Distributed Bootstrap
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Generalization via Derandomization
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Efficient Constructions of Checkpoints
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Efficient Continuous Pareto Exploration in Multi-Task Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
No-Regret and Incentive-Compatible Online Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Lorentz Group Equivariant Neural Network for Particle Physics
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Stochastic Hamiltonian Gradient Methods for Smooth Games
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Momentum Improves Normalized SGD
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Multi-Objective Molecule Generation using Interpretable Substructures
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Improving generalization by controlling label-noise information in neural network weights
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Provable Smoothness Guarantees for Black-Box Variational Inference
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
ACFlow: Flow Models for Arbitrary Conditional Likelihoods
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Model-Based Reinforcement Learning with Value-Targeted Regression
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Leveraging Pretrained GANs for Generation with Limited Data
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learning with Imperfect Hints
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Uniform Convergence of Rank-weighted Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Goal-Aware Prediction: Learning to Model What Matters
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learned Continual Compression with Adaptive Quantization Modules
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Doubly robust off-policy evaluation with shrinkage
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
ConQUR: Mitigating Delusional Bias in Deep Q-Learning
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Semi-Supervised Learning with Normalizing Flows
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Optimal Differential Privacy Composition for Exponential Mechanisms
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Goodness-of-Fit Tests for Inhomogeneous Random Graphs
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Educating Text Autoencoders: Latent Representation Guidance via Denoising
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Variational Inference for Sequential Data with Future Likelihood Estimates
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Distribution Augmentation for Generative Modeling
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adversarial Attacks on Copyright Detection Systems
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Graph Structure of Neural Networks
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Time-aware Large Kernel Convolutions
[
Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Minimax Pareto Fairness: A Multi Objective Perspective
[
Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
The Performance Analysis of Generalized Margin Maximizers on Separable Data
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Certified Data Removal from Machine Learning Models
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Emergence of Separable Manifolds in Deep Language Representations
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Domain Aggregation Networks for Multi-Source Domain Adaptation
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Coresets for Data-efficient Training of Machine Learning Models
[
Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Visual Grounding of Learned Physical Models
[
Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Mixtures of Graphs from Epidemic Cascades
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
One-shot Distributed Ridge Regression in High Dimensions
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Model Fusion with Kullback--Leibler Divergence
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Momentum-Based Policy Gradient Methods
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Gradient Temporal-Difference Learning with Regularized Corrections
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Optimizing Data Usage via Differentiable Rewards
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
An Imitation Learning Approach for Cache Replacement
[
Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
SGD Learns One-Layer Networks in WGANs
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Human Objectives by Evaluating Hypothetical Behavior
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Defense Through Diverse Directions
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Progressive Identification of True Labels for Partial-Label Learning
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Cost-Effective Interactive Attention Learning with Neural Attention Processes
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Sparse Sinkhorn Attention
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
High-dimensional Robust Mean Estimation via Gradient Descent
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Generalization and Representational Limits of Graph Neural Networks
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Generalized and Scalable Optimal Sparse Decision Trees
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Accelerated Message Passing for Entropy-Regularized MAP Inference
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Generalization Error of Generalized Linear Models in High Dimensions
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Slides]
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Bio-Inspired Hashing for Unsupervised Similarity Search
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
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Slides]
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Improved Optimistic Algorithms for Logistic Bandits
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Evaluating Machine Accuracy on ImageNet
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
The Implicit Regularization of Stochastic Gradient Flow for Least Squares
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Slides]
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Implicit competitive regularization in GANs
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
WaveFlow: A Compact Flow-based Model for Raw Audio
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
A Distributional Framework For Data Valuation
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT) @ Virtual
Symbolic Network: Generalized Neural Policies for Relational MDPs
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Slides]
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT) @ Virtual
Bounding the fairness and accuracy of classifiers from population statistics
[
Slides]
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT) @ Virtual
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications
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Slides]
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Decision Trees for Decision-Making under the Predict-then-Optimize Framework
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Active World Model Learning in Agent-rich Environments with Progress Curiosity
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
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Slides]
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Inferring DQN structure for high-dimensional continuous control
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
On the Global Convergence Rates of Softmax Policy Gradient Methods
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Slides]
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Concept Bottleneck Models
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT) @ Virtual
Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation
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Slides]
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
When Does Self-Supervision Help Graph Convolutional Networks?
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Aligned Cross Entropy for Non-Autoregressive Machine Translation
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Video Prediction via Example Guidance
Poster
Thu Jul 16 09:00 AM -- 09:45 AM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT) @ Virtual
Energy-Based Processes for Exchangeable Data
[
Slides]
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Optimistic Bounds for Multi-output Learning
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Random extrapolation for primal-dual coordinate descent
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT) @ Virtual
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks
[
Slides]
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Topologically Densified Distributions
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Extra-gradient with player sampling for faster convergence in n-player games
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Real-Time Optimisation for Online Learning in Auctions
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Predictive Coding for Locally-Linear Control
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Data-Efficient Image Recognition with Contrastive Predictive Coding
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
On Thompson Sampling with Langevin Algorithms
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Monte-Carlo Tree Search as Regularized Policy Optimization
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT) @ Virtual
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains
[
Slides]
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Randomized Block-Diagonal Preconditioning for Parallel Learning
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Low Bias Low Variance Gradient Estimates for Hierarchical Boolean Stochastic Networks
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Naive Exploration is Optimal for Online LQR
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Aggregation of Multiple Knockoffs
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Online Multi-Kernel Learning with Graph-Structured Feedback
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Gradient-free Online Learning in Continuous Games with Delayed Rewards
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Online Continual Learning from Imbalanced Data
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
A Flexible Latent Space Model for Multilayer Networks
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
The Complexity of Finding Stationary Points with Stochastic Gradient Descent
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Learning to Rank Learning Curves
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT) @ Virtual
Inter-domain Deep Gaussian Processes
[
Slides]
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Neural Kernels Without Tangents
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Near-optimal Regret Bounds for Stochastic Shortest Path
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT) @ Virtual
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning
[
Slides]
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT) @ Virtual
Missing Data Imputation using Optimal Transport
[
Slides]
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT) @ Virtual
Soft Threshold Weight Reparameterization for Learnable Sparsity
[
Slides]
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Supervised Quantile Normalization for Low Rank Matrix Factorization
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Conditional gradient methods for stochastically constrained convex minimization
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT)
Composable Sketches for Functions of Frequencies: Beyond the Worst Case
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Thu Jul 16 11:00 PM -- 11:45 PM (PDT) @ Virtual
Learning Flat Latent Manifolds with VAEs
[
Slides]
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Double-Loop Unadjusted Langevin Algorithm
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
PowerNorm: Rethinking Batch Normalization in Transformers
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT) @ Virtual
Graph-based Nearest Neighbor Search: From Practice to Theory
[
Slides]
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Towards Adaptive Residual Network Training: A Neural-ODE Perspective
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Robust Learning with the Hilbert-Schmidt Independence Criterion
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Stochastic Differential Equations with Variational Wishart Diffusions
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Learning to Branch for Multi-Task Learning
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
A quantile-based approach for hyperparameter transfer learning
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
A Generative Model for Molecular Distance Geometry
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Spectral Clustering with Graph Neural Networks for Graph Pooling
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT) @ Virtual
Amortised Learning by Wake-Sleep
[
Slides]
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Modulating Surrogates for Bayesian Optimization
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Predicting Choice with Set-Dependent Aggregation
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Projective Preferential Bayesian Optimization
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Kernel interpolation with continuous volume sampling
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Influenza Forecasting Framework based on Gaussian Processes
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Slides]
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT) @ Virtual
Preselection Bandits
[
Slides]
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
The FAST Algorithm for Submodular Maximization
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT) @ Virtual
Latent Bernoulli Autoencoder
[
Slides]
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Teaching with Limited Information on the Learner's Behaviour
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
The Boomerang Sampler
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 12:00 AM -- 12:45 AM (PDT)
Topic Modeling via Full Dependence Mixtures
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT) @ Virtual
Convolutional Kernel Networks for Graph-Structured Data
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Slides]
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Neural Topic Modeling with Continual Lifelong Learning
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Graph Filtration Learning
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT) @ Virtual
On Efficient Low Distortion Ultrametric Embedding
[
Slides]
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Stochastic Subspace Cubic Newton Method
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT) @ Virtual
Stochastic Latent Residual Video Prediction
[
Slides]
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Regularized Optimal Transport is Ground Cost Adversarial
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT) @ Virtual
Training Binary Neural Networks using the Bayesian Learning Rule
[
Slides]
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Anderson Acceleration of Proximal Gradient Methods
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT) @ Virtual
The continuous categorical: a novel simplex-valued exponential family
[
Slides]
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Linear bandits with Stochastic Delayed Feedback
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Efficiently sampling functions from Gaussian process posteriors
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Multi-Agent Determinantal Q-Learning
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT) @ Virtual
Probing Emergent Semantics in Predictive Agents via Question Answering
[
Slides]
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Forecasting Sequential Data Using Consistent Koopman Autoencoders
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Extrapolation for Large-batch Training in Deep Learning
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Optimistic Policy Optimization with Bandit Feedback
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Variational Autoencoders with Riemannian Brownian Motion Priors
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Parallel Algorithm for Non-Monotone DR-Submodular Maximization
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Neural Network Control Policy Verification With Persistent Adversarial Perturbation
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Learning Factorized Weight Matrix for Joint Filtering
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 03:00 AM -- 03:45 AM (PDT)
Spectral Subsampling MCMC for Stationary Time Series
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Randomization matters How to defend against strong adversarial attacks
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT)
Reliable Fidelity and Diversity Metrics for Generative Models
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Deep Streaming Label Learning
[
Slides]
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Off-Policy Actor-Critic with Shared Experience Replay
Poster
Thu Jul 16 03:00 PM -- 03:45 PM & Fri Jul 17 02:00 AM -- 02:45 AM (PDT) @ Virtual
Stochastic Optimization for Regularized Wasserstein Estimators
[
Slides]
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
A Tree-Structured Decoder for Image-to-Markup Generation
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Multi-objective Bayesian Optimization using Pareto-frontier Entropy
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
On the Power of Compressed Sensing with Generative Models
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Non-autoregressive Machine Translation with Disentangled Context Transformer
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
More Information Supervised Probabilistic Deep Face Embedding Learning
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Minimax Weight and Q-Function Learning for Off-Policy Evaluation
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Sparse Subspace Clustering with Entropy-Norm
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Self-Attentive Associative Memory
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
DropNet: Reducing Neural Network Complexity via Iterative Pruning
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Multinomial Logit Bandit with Low Switching Cost
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity
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Slides]
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Learning Autoencoders with Relational Regularization
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Representation Learning via Adversarially-Contrastive Optimal Transport
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Slides]
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Do We Need Zero Training Loss After Achieving Zero Training Error?
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Transformer Hawkes Process
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
A Graph to Graphs Framework for Retrosynthesis Prediction
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
On Layer Normalization in the Transformer Architecture
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Few-shot Domain Adaptation by Causal Mechanism Transfer
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Slides]
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach