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Poster
@ Virtual
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Momentum Residual Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interactive Learning from Activity Description
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
MSA Transformer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Curves for Analysis of Deep Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Optimal Complexity in Decentralized Training
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Leveraging Sparse Linear Layers for Debuggable Deep Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning and Planning in Complex Action Spaces
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Hierarchical VAEs Know What They Don’t Know
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Task Informed Abstractions
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Variational Data Assimilation with a Learned Inverse Observation Operator
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Grid-Functioned Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Outlier-Robust Optimal Transport
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fundamental Tradeoffs in Distributionally Adversarial Training
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning under Arbitrary Communication Patterns
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Attention is not all you need: pure attention loses rank doubly exponentially with depth
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Functional Perspective on Learning Symmetric Functions with Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
On the Random Conjugate Kernel and Neural Tangent Kernel
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PixelTransformer: Sample Conditioned Signal Generation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interpretable Stability Bounds for Spectral Graph Filters
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
UnICORNN: A recurrent model for learning very long time dependencies
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Tuning for Data-Efficient Deep Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
How Framelets Enhance Graph Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fast Projection Onto Convex Smooth Constraints
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Dataset Dynamics via Gradient Flows in Probability Space
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Thinking Like Transformers
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning Routines for Effective Off-Policy Reinforcement Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Vector Quantized Models for Planning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Architecture Search without Training
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Formalism, Method and Open Issues for Zero-Shot Coordination
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Differentiable Simulation of Articulated Bodies
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
OmniNet: Omnidirectional Representations from Transformers
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Improved Denoising Diffusion Probabilistic Models
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unifying Vision-and-Language Tasks via Text Generation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Novel Sequential Coreset Method for Gradient Descent Algorithms
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Reinforcement Learning with Pseudometric Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Imitation by Predicting Observations
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Efficient Learning of Transferable Rewards
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Probabilistic Approach to Neural Network Pruning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bayesian Deep Learning via Subnetwork Inference
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoding Under Normalization Constraints
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning of User Verification Models Without Sharing Embeddings
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Principal Component Hierarchy for Sparse Quadratic Programs
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Sliced Iterative Normalizing Flows
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Decomposable Submodular Function Minimization via Maximum Flow
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Preferential Temporal Difference Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Robust Bayesian Optimization via Dueling Bandits
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
GLSearch: Maximum Common Subgraph Detection via Learning to Search
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Symbolic Regression that scales
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Targeted Data Acquisition for Evolving Negotiation Agents
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Explainable Automated Graph Representation Learning with Hyperparameter Importance
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Parallelizing Legendre Memory Unit Training
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Muesli: Combining Improvements in Policy Optimization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributionally Robust Optimization with Markovian Data
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Perceiver: General Perception with Iterative Attention
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
State Entropy Maximization with Random Encoders for Efficient Exploration
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Skill Discovery for Exploration and Planning using Deep Skill Graphs
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Zoo-Tuning: Adaptive Transfer from A Zoo of Models
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Lottery Ticket Finding: Less Data is More
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
MC-LSTM: Mass-Conserving LSTM
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Newton Method over Networks is Fast up to the Statistical Precision
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
From Local Structures to Size Generalization in Graph Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
One-sided Frank-Wolfe algorithms for saddle problems
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Reinforcement Learning with Prototypical Representations
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Adversarial Transformers
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self Normalizing Flows
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sparsifying Networks via Subdifferential Inclusion
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Is Space-Time Attention All You Need for Video Understanding?
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unsupervised Learning of Visual 3D Keypoints for Control
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Mixture Density Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
What Are Bayesian Neural Network Posteriors Really Like?
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On Monotonic Linear Interpolation of Neural Network Parameters
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Relative Positional Encoding for Transformers with Linear Complexity
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deeply-Debiased Off-Policy Interval Estimation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Intra-Batch Connections for Deep Metric Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Strategic Classification Made Practical
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Parameter-free Locally Accelerated Conditional Gradients
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Breaking the Limits of Message Passing Graph Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Directional Graph Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Riemannian Convex Potential Maps
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Projection Robust Wasserstein Barycenters
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Winograd Algorithm for AdderNet
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Strict Generalisation Benefit for Equivariant Models
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Bounds for Open-Set Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoder Image Interpolation by Shaping the Latent Space
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
AutoSampling: Search for Effective Data Sampling Schedules
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Reinforcement Learning for Cost-Aware Markov Decision Processes
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Model-Based Reinforcement Learning via Latent-Space Collocation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
DeepWalking Backwards: From Embeddings Back to Graphs
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Principled Simplicial Neural Networks for Trajectory Prediction
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep kernel processes
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Continual Learning with Weighted Inter-client Transfer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Better Training using Weight-Constrained Stochastic Dynamics
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Low-Rank Sinkhorn Factorization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
BORE: Bayesian Optimization by Density-Ratio Estimation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Acceleration via Fractal Learning Rate Schedules
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Representation of Successor Features for Transfer across Dissimilar Environments
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Contextual Bandits with Overparameterized Models
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PODS: Policy Optimization via Differentiable Simulation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Inverse Constrained Reinforcement Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PID Accelerated Value Iteration Algorithm
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Value Alignment Verification
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Making transport more robust and interpretable by moving data through a small number of anchor points
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Size-Invariant Graph Representations for Graph Classification Extrapolations
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Particle Variational Inference via Estimation of Functional Gradients
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multiplicative Noise and Heavy Tails in Stochastic Optimization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Exploiting structured data for learning contagious diseases under incomplete testing
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
E(n) Equivariant Graph Neural Networks
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
KNAS: Green Neural Architecture Search
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Connecting Sphere Manifolds Hierarchically for Regularization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
LieTransformer: Equivariant Self-Attention for Lie Groups
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dueling Convex Optimization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributed Second Order Methods with Fast Rates and Compressed Communication
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Synthesizer: Rethinking Self-Attention for Transformer Models
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Phasic Policy Gradient
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Not All Memories are Created Equal: Learning to Forget by Expiring
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decoupling Value and Policy for Generalization in Reinforcement Learning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On the Optimality of Batch Policy Optimization Algorithms
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Large-Margin Contrastive Learning with Distance Polarization Regularizer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Video Transformer: Can Objects be the Words?
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
World Model as a Graph: Learning Latent Landmarks for Planning
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Towards Understanding Learning in Neural Networks with Linear Teachers
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Evolving Attention with Residual Convolutions
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning to Weight Imperfect Demonstrations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Deep Generative Learning via Schrödinger Bridge
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Neural Rough Differential Equations for Long Time Series
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GMAC: A Distributional Perspective on Actor-Critic Framework
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Keyframe-Focused Visual Imitation Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Lipschitz normalization for self-attention layers with application to graph neural networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stochastic Iterative Graph Matching
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Federated Composite Optimization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LAMDA: Label Matching Deep Domain Adaptation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Joining datasets via data augmentation in the label space for neural networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Explore Visual Concept Formation for Image Classification
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Three Operator Splitting with a Nonconvex Loss Function
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Prioritized Level Replay
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Density Constrained Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Taylor Expansion of Discount Factors
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Multi-Task Reinforcement Learning with Context-based Representations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stabilizing Equilibrium Models by Jacobian Regularization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Connecting Interpretability and Robustness in Decision Trees through Separation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Ditto: Fair and Robust Federated Learning Through Personalization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Partially Observed Exchangeable Modeling
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Catformer: Designing Stable Transformers via Sensitivity Analysis
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CATE: Computation-aware Neural Architecture Encoding with Transformers
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Instance Specific Approximations for Submodular Maximization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generating images with sparse representations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emergent Social Learning via Multi-agent Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Re-understanding Finite-State Representations of Recurrent Policy Networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Just Train Twice: Improving Group Robustness without Training Group Information
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Light RUMs
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
LARNet: Lie Algebra Residual Network for Face Recognition
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Weight-covariance alignment for adversarially robust neural networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High Confidence Generalization for Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On Characterizing GAN Convergence Through Proximal Duality Gap
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Reinforcement Learning Under Moral Uncertainty
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On the Predictability of Pruning Across Scales
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Zero-Shot Text-to-Image Generation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Trajectory Diversity for Zero-Shot Coordination
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed Optimization with Quantized Preconditioners
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Domain-Agnostic Contrastive Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Few-Shot Neural Architecture Search
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Poolingformer: Long Document Modeling with Pooling Attention
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed SVD via Local Power Iterations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning with Linear Function Approximation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improved Contrastive Divergence Training of Energy-Based Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data Augmentation for Meta-Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generalizable Episodic Memory for Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Network Inference and Influence Maximization from Samples
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Power of Adaptivity for Stochastic Submodular Cover
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Temporally Correlated Task Scheduling for Sequence Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emphatic Algorithms for Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Spatial Planning using Transformers
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Tale of Two Efficient and Informative Negative Sampling Distributions
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Scalable Normalizing Flows for Permutation Invariant Densities
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning Neural Network Subspaces
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Heavy-Tail Phenomenon in SGD
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
An Identifiable Double VAE For Disentangled Representations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Monotonic Robust Policy Optimization with Model Discrepancy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Leveraging Language to Learn Program Abstractions and Search Heuristics
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
What Makes for End-to-End Object Detection?
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Discovering symbolic policies with deep reinforcement learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Oblivious Sketching-based Central Path Method for Linear Programming
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Explainability of Graph Neural Networks via Subgraph Explorations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning and Planning in Average-Reward Markov Decision Processes
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On a Combination of Alternating Minimization and Nesterov's Momentum
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Wasserstein Minimax Framework for Mixed Linear Regression
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Estimation in Latent Variable Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
EfficientNetV2: Smaller Models and Faster Training
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
BASGD: Buffered Asynchronous SGD for Byzantine Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Bayesian Optimization over Hybrid Spaces
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Quantization Algorithms for Random Fourier Features
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
RRL: Resnet as representation for Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Compositional Video Synthesis with Action Graphs
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the price of explainability for some clustering problems
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularized Submodular Maximization at Scale
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Receptor Skeleton for Capsule Neural Networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accurate Post Training Quantization With Small Calibration Sets
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Moreau-Yosida $f$-divergences
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Representation Matters: Offline Pretraining for Sequential Decision Making
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Emergence of Individuality
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Online Graph Dictionary Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Soft then Hard: Rethinking the Quantization in Neural Image Compression
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Is Pessimism Provably Efficient for Offline RL?
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Information Obfuscation of Graph Neural Networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
AutoAttend: Automated Attention Representation Search
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Robust Asymmetric Learning in POMDPs
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High-Performance Large-Scale Image Recognition Without Normalization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Hyperparameter Selection for Imitation Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Graph Neural Networks with 1000 Layers
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Convex Regularization in Monte-Carlo Tree Search
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dynamic Game Theoretic Neural Optimizer
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bilevel Optimization: Convergence Analysis and Enhanced Design
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Composing Normalizing Flows for Inverse Problems
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
High-dimensional Experimental Design and Kernel Bandits
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Collaborative Bayesian Optimization with Fair Regret
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Joint Online Learning and Decision-making via Dual Mirror Descent
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Elastic Graph Neural Networks
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Selecting Data Augmentation for Simulating Interventions
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning from Noisy Labels with No Change to the Training Process
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning from Nested Data with Ornstein Auto-Encoders
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
State Relevance for Off-Policy Evaluation
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Exponentially Many Local Minima in Quantum Neural Networks
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Instance-Optimal Compressed Sensing via Posterior Sampling
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Dichotomous Optimistic Search to Quantify Human Perception
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Value Iteration in Continuous Actions, States and Time
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Reward Identification in Inverse Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Faster Kernel Matrix Algebra via Density Estimation
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Regret Minimization Approach to Iterative Learning Control
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Multiplying Matrices Without Multiplying
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Representational aspects of depth and conditioning in normalizing flows
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning in Nonzero-Sum Stochastic Games with Potentials
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Reserve Price Optimization for First Price Auctions in Display Advertising
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Uncertainty Principles of Encoding GANs
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Revealing the Structure of Deep Neural Networks via Convex Duality
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fairness and Bias in Online Selection
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Training Data Subset Selection for Regression with Controlled Generalization Error
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Variance Reduced Training with Stratified Sampling for Forecasting Models
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Kernel Continual Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Post-selection inference with HSIC-Lasso
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Ensemble Bootstrapping for Q-Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Modelling Behavioural Diversity for Learning in Open-Ended Games
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
A Nullspace Property for Subspace-Preserving Recovery
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Robust Inference for High-Dimensional Linear Models via Residual Randomization
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Narrow Margins: Classification, Margins and Fat Tails
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
XOR-CD: Linearly Convergent Constrained Structure Generation
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Active Deep Probabilistic Subsampling
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
The Lipschitz Constant of Self-Attention
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning to Price Against a Moving Target
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
ChaCha for Online AutoML
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
What does LIME really see in images?
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning from Biased Data: A Semi-Parametric Approach
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bilinear Classes: A Structural Framework for Provable Generalization in RL
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Batch Value-function Approximation with Only Realizability
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Nonparametric Hamiltonian Monte Carlo
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Cross-domain Imitation from Observations
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Feature Acquisition with Generative Surrogate Models
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Deciding What to Learn: A Rate-Distortion Approach
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
How Do Adam and Training Strategies Help BNNs Optimization
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
AGENT: A Benchmark for Core Psychological Reasoning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Functional Space Analysis of Local GAN Convergence
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Path Planning using Neural A* Search
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Continuous-time Model-based Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Optimizing persistent homology based functions
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Off-Belief Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Large-Scale Multi-Agent Deep FBSDEs
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Energy-Based Models with Overparametrized Shallow Neural Networks
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
APS: Active Pretraining with Successor Features
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Characterizing the Gap Between Actor-Critic and Policy Gradient
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Bayesian Optimistic Optimisation with Exponentially Decaying Regret
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Deep Continuous Networks
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Multi-group Agnostic PAC Learnability
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Unsupervised Skill Discovery with Bottleneck Option Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Instabilities of Offline RL with Pre-Trained Neural Representation
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Homomorphic Sensing: Sparsity and Noise
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generalised Lipschitz Regularisation Equals Distributional Robustness
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Near-Optimal Confidence Sequences for Bounded Random Variables
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Align, then memorise: the dynamics of learning with feedback alignment
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
PAC-Learning for Strategic Classification
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
MARINA: Faster Non-Convex Distributed Learning with Compression
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Parametric Graph for Unimodal Ranking Bandit
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Estimating $\alpha$-Rank from A Few Entries with Low Rank Matrix Completion
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
No-regret Algorithms for Capturing Events in Poisson Point Processes
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Distributed Nystr\"{o}m Kernel Learning with Communications
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Approximate Group Fairness for Clustering
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Estimation and Quantization of Expected Persistence Diagrams
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Adversarial Combinatorial Bandits with General Non-linear Reward Functions
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tractable structured natural-gradient descent using local parameterizations
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Inferring serial correlation with dynamic backgrounds
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Follow-the-Regularized-Leader Routes to Chaos in Routing Games
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Paced Context Evaluation for Contextual Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Logical Options Framework
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Best Model Identification: A Rested Bandit Formulation
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
How could Neural Networks understand Programs?
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Meta-learning Hyperparameter Performance Prediction with Neural Processes
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Incentivizing Compliance with Algorithmic Instruments
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
TempoRL: Learning When to Act
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Data-efficient Hindsight Off-policy Option Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Necessary and sufficient conditions for causal feature selection in time series with latent common causes
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Approximating a Distribution Using Weight Queries
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
A statistical perspective on distillation
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Near Optimal Reward-Free Reinforcement Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Measuring Robustness in Deep Learning Based Compressive Sensing
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Kernel Stein Discrepancy Descent
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Adversarial Option-Aware Hierarchical Imitation Learning
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning Stochastic Behaviour from Aggregate Data
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Principled Exploration via Optimistic Bootstrapping and Backward Induction
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
SMG: A Shuffling Gradient-Based Method with Momentum
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning from History for Byzantine Robust Optimization
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Prior Image-Constrained Reconstruction using Style-Based Generative Models
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
An exact solver for the Weston-Watkins SVM subproblem
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Online A-Optimal Design and Active Linear Regression
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Relative Deviation Margin Bounds
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dissecting Supervised Constrastive Learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Off-Policy Evaluation from Multiple Logging Policies
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Theory of Label Propagation for Subpopulation Shift
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Selfish Sparse RNN Training
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Discriminative Complementary-Label Learning with Weighted Loss
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Detection of Signal in the Spiked Rectangular Models
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
RATT: Leveraging Unlabeled Data to Guarantee Generalization
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Adapting to misspecification in contextual bandits with offline regression oracles
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Task-Optimal Exploration in Linear Dynamical Systems
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Finding Relevant Information via a Discrete Fourier Expansion
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Variational Inference in Biclustering Models
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SpreadsheetCoder: Formula Prediction from Semi-structured Context
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Compressed Maximum Likelihood
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Policy Analysis using Synthetic Controls in Continuous-Time
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A large-scale benchmark for few-shot program induction and synthesis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularized Online Allocation Problems: Fairness and Beyond
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Neural SDEs as Infinite-Dimensional GANs
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Latent Programmer: Discrete Latent Codes for Program Synthesis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Toward Better Generalization Bounds with Locally Elastic Stability
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimizing Black-box Metrics with Iterative Example Weighting
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mandoline: Model Evaluation under Distribution Shift
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Correct Optimization and Exploration with Non-linear Policies
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cyclically Equivariant Neural Decoders for Cyclic Codes
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Deep Coherent Exploration for Continuous Control
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Differentiable Point Process with Its Application to Spiking Neural Networks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Classification with Rejection Based on Cost-sensitive Classification
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Online Unrelated Machine Load Balancing with Predictions Revisited
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
An Information-Geometric Distance on the Space of Tasks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Analysis of stochastic Lanczos quadrature for spectrum approximation
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Multi-Receiver Online Bayesian Persuasion
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Training Recurrent Neural Networks via Forward Propagation Through Time
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dropout: Explicit Forms and Capacity Control
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Pure Exploration and Regret Minimization in Matching Bandits
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Contrastive Learning Inverts the Data Generating Process
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Alternative Microfoundations for Strategic Classification
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
12-Lead ECG Reconstruction via Koopman Operators
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
DORO: Distributional and Outlier Robust Optimization
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning Using Advantage-Based Intervention
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Train simultaneously, generalize better: Stability of gradient-based minimax learners
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Best Arm Identification in Graphical Bilinear Bandits
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Distribution-dependent Analysis of Meta Learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Deep Latent Graph Matching
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Near-Optimal Linear Regression under Distribution Shift
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Beyond $log^2(T)$ regret for decentralized bandits in matching markets
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Lower-Bounded Proper Losses for Weakly Supervised Classification
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Probabilistic Programs with Stochastic Conditioning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Asymmetric Loss Functions for Learning with Noisy Labels
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
UCB Momentum Q-learning: Correcting the bias without forgetting
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Approximation Theory Based Methods for RKHS Bandits
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Fast active learning for pure exploration in reinforcement learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Optimal Streaming Algorithms for Multi-Armed Bandits
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Optimal Auctions with Correlated Valuations from Samples
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymptotics of Ridge Regression in Convolutional Models
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Versatile Verification of Tree Ensembles
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Trees with Attention for Set Prediction Tasks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
An Integer Linear Programming Framework for Mining Constraints from Data
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sparsity-Agnostic Lasso Bandit
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Diffusion Source Identification on Networks with Statistical Confidence
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Break-It-Fix-It: Unsupervised Learning for Program Repair
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Novel Method to Solve Neural Knapsack Problems
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Label Distribution Learning Machine
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Gaussian Process-Based Real-Time Learning for Safety Critical Applications
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Making Paper Reviewing Robust to Bid Manipulation Attacks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Cumulants of Hawkes Processes are Robust to Observation Noise
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Multi-Dimensional Classification via Sparse Label Encoding
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Robust Mean Estimation under Coordinate-level Corruption
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Scaling Properties of Deep Residual Networks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Gradient Fields for Molecular Conformation Generation
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
ACE: Explaining cluster from an adversarial perspective
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Confidence-Budget Matching for Sequential Budgeted Learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Segmenting Hybrid Trajectories using Latent ODEs
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Dynamic Planning and Learning under Recovering Rewards
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Consistent regression when oblivious outliers overwhelm
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Approximation Theory of Convolutional Architectures for Time Series Modelling
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Improved OOD Generalization via Adversarial Training and Pretraing
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Combinatorial Blocking Bandits with Stochastic Delays
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Conformal prediction interval for dynamic time-series
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Adversarial Dueling Bandits
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding self-supervised learning dynamics without contrastive pairs
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Top-k eXtreme Contextual Bandits with Arm Hierarchy
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Policy Gradient against Strong Data Corruption
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Pure Exploration in Linear Bandits with Limited Budget
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Towards Distraction-Robust Active Visual Tracking
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Model Performance Scaling with Multiple Data Sources
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Learning in Unknown Markov Games
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Heterogeneous Risk Minimization
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
How Important is the Train-Validation Split in Meta-Learning?
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Consensus Control for Decentralized Deep Learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Multidimensional Scaling: Approximation and Complexity
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Dynamic Balancing for Model Selection in Bandits and RL
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Precise Performance Analysis of Support Vector Regression
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
HyperHyperNetwork for the Design of Antenna Arrays
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Implicit rate-constrained optimization of non-decomposable objectives
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraging Non-uniformity in First-order Non-convex Optimization
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Solving Inverse Problems with a Flow-based Noise Model
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On the Inherent Regularization Effects of Noise Injection During Training
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample Complexity of Robust Linear Classification on Separated Data
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provable Meta-Learning of Linear Representations
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Efficient Algorithms for Multi-Objective Competitive RL
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Unsupervised Learning via L-statistic Minimization
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
The Impact of Record Linkage on Learning from Feature Partitioned Data
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Outside the Echo Chamber: Optimizing the Performative Risk
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
MOTS: Minimax Optimal Thompson Sampling
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Interaction-Grounded Learning
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Event Outlier Detection in Continuous Time
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Understanding Noise Injection in GANs
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Learning by Turning: Neural Architecture Aware Optimisation
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Incentivized Bandit Learning with Self-Reinforcing User Preferences
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quantile Bandits for Best Arms Identification
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Breaking the Deadly Triad with a Target Network
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
AdaXpert: Adapting Neural Architecture for Growing Data
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Near-Optimal Representation Learning for Linear Bandits and Linear RL
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Variational Auto-Regressive Gaussian Processes for Continual Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Online Limited Memory Neural-Linear Bandits with Likelihood Matching
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On Disentangled Representations Learned from Correlated Data
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
f-Domain Adversarial Learning: Theory and Algorithms
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Query Complexity of Adversarial Attacks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Markpainting: Adversarial Machine Learning meets Inpainting
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Phase Transitions, Distance Functions, and Implicit Neural Representations
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAPRIKA: Private Online False Discovery Rate Control
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Mixed Nash Equilibria in the Adversarial Examples Game
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Active Covering
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Transfer-Based Semantic Anomaly Detection
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Fairness of Exposure in Stochastic Bandits
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Inference for Network Regression Models with Community Structure
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
In-Database Regression in Input Sparsity Time
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Differentially Private Quantiles
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Matrix Completion with Model-free Weighting
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nonparametric Decomposition of Sparse Tensors
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parallel tempering on optimized paths
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Environment Inference for Invariant Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
I-BERT: Integer-only BERT Quantization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
A Discriminative Technique for Multiple-Source Adaptation
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Bayesian Quadrature on Riemannian Data Manifolds
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Robust Learning-Augmented Caching: An Experimental Study
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Fairness for Image Generation with Uncertain Sensitive Attributes
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Quantum algorithms for reinforcement learning with a generative model
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Robust Testing and Estimation under Manipulation Attacks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Training of Robust Decision Trees Against Adversarial Examples
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Directed Graph Embeddings in Pseudo-Riemannian Manifolds
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Fair Selective Classification Via Sufficiency
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Modeling Hierarchical Structures with Continuous Recursive Neural Networks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Testing: Sample-Efficient Model Evaluation
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
SparseBERT: Rethinking the Importance Analysis in Self-attention
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Aggregating From Multiple Target-Shifted Sources
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dataset Condensation with Differentiable Siamese Augmentation
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Few-Shot Conformal Prediction with Auxiliary Tasks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
RNNRepair: Automatic RNN Repair via Model-based Analysis
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Pointwise Binary Classification with Pairwise Confidence Comparisons
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GRAND: Graph Neural Diffusion
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Disambiguation of Weak Supervision leading to Exponential Convergence rates
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning a Universal Template for Few-shot Dataset Generalization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Implicit Bias of Linear RNNs
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Characterizing Fairness Over the Set of Good Models Under Selective Labels
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Directional Bias Amplification
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Optimization Planning for 3D ConvNets
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Correlation Clustering with Asymmetric Classification Errors
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Memory Efficient Online Meta Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Learning of Continuous-time Bayesian Networks through Interventions
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Analyzing the tree-layer structure of Deep Forests
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Locally Private k-Means in One Round
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentially-Private Clustering of Easy Instances
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentially Private Correlation Clustering
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Representation Subspace Distance for Domain Adaptation Regression
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Strategic Classification in the Dark
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Matrix Sketching for Secure Collaborative Machine Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tilting the playing field: Dynamical loss functions for machine learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Whittle Networks: A Deep Likelihood Model for Time Series
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Implicit Regularization in Tensor Factorization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Uniform Convergence, Adversarial Spheres and a Simple Remedy
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Representations by Humans, for Humans
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Personalized Federated Learning using Hypernetworks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Memory-Efficient Pipeline-Parallel DNN Training
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Addressing Catastrophic Forgetting in Few-Shot Problems
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Unified Robust Semi-Supervised Variational Autoencoder
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Enhancing Robustness of Neural Networks through Fourier Stabilization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Skew Orthogonal Convolutions
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
First-Order Methods for Wasserstein Distributionally Robust MDP
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nonmyopic Multifidelity Acitve Search
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Damaging Contrastive Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GANMEX: One-vs-One Attributions using GAN-based Model Explainability
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Defense against backdoor attacks via robust covariance estimation
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Bayesian Attention Belief Networks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nondeterminism and Instability in Neural Network Optimization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Dash: Semi-Supervised Learning with Dynamic Thresholding
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On Linear Identifiability of Learned Representations
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Decoupling Representation Learning from Reinforcement Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sparse within Sparse Gaussian Processes using Neighbor Information
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Putting the ``Learning" into Learning-Augmented Algorithms for Frequency Estimation
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Annealed Flow Transport Monte Carlo
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
DeepReDuce: ReLU Reduction for Fast Private Inference
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning to Generate Noise for Multi-Attack Robustness
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Coded-InvNet for Resilient Prediction Serving Systems
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Domain Generalization using Causal Matching
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Near-Optimal Algorithms for Explainable k-Medians and k-Means
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
EL-Attention: Memory Efficient Lossless Attention for Generation
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Algorithms for Finding Densely Connected Clusters
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
GeomCA: Geometric Evaluation of Data Representations
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Contrastive Learning Automated
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Conservative Objective Models for Effective Offline Model-Based Optimization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Delving into Deep Imbalanced Regression
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Binary Decision Trees by Argmin Differentiation
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Feature Clustering for Support Identification in Extreme Regions
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Temporal Difference Learning as Gradient Splitting
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Streaming Bayesian Deep Tensor Factorization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
CARTL: Cooperative Adversarially-Robust Transfer Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Training data-efficient image transformers & distillation through attention
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sparse Bayesian Learning via Stepwise Regression
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Certified Segmentation via Randomized Smoothing
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Improved, Deterministic Smoothing for L_1 Certified Robustness
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parameterless Transductive Feature Re-representation for Few-Shot Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning to Rehearse in Long Sequence Memorization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Off-Policy Confidence Sequences
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the difficulty of unbiased alpha divergence minimization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Finite mixture models do not reliably learn the number of components
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning disentangled representations via product manifold projection
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Robust Representation Learning via Perceptual Similarity Metrics
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adapting to Delays and Data in Adversarial Multi-Armed Bandits
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
HAWQ-V3: Dyadic Neural Network Quantization
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SGLB: Stochastic Gradient Langevin Boosting
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Linear Transformers Are Secretly Fast Weight Programmers
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sharf: Shape-conditioned Radiance Fields from a Single View
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Unsupervised Co-part Segmentation through Assembly
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Adversarial Policy Learning in Two-player Competitive Games
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
To be Robust or to be Fair: Towards Fairness in Adversarial Training
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Practical Mean Bounds for Small Samples
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adversarial Robustness Guarantees for Random Deep Neural Networks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Label-Only Membership Inference Attacks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning from Similarity-Confidence Data
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Oblivious Sketching for Logistic Regression
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Generalized Doubly Reparameterized Gradient Estimators
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Differentially Private Query Release Through Adaptive Projection
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Neural Feature Matching in Implicit 3D Representations
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adversarial Purification with Score-based Generative Models
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Detecting Rewards Deterioration in Episodic Reinforcement Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Privacy-Preserving Video Classification with Convolutional Neural Networks
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Geometric convergence of elliptical slice sampling
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Whitening for Self-Supervised Representation Learning
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Correlation Clustering in Constant Many Parallel Rounds
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Active Slices for Sliced Stein Discrepancy
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Finding k in Latent $k-$ polytope
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Watermarking Deep Neural Networks with Greedy Residuals
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Testing Group Fairness via Optimal Transport Projections
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Exploiting Shared Representations for Personalized Federated Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Objective Bound Conditional Gaussian Process for Bayesian Optimization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Model Fusion for Personalized Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Large-Scale Meta-Learning with Continual Trajectory Shifting
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Probabilistic Generating Circuits
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Self-Improved Retrosynthetic Planning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Function Contrastive Learning of Transferable Meta-Representations
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Self-supervised Graph-level Representation Learning with Local and Global Structure
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Lossless Compression of Efficient Private Local Randomizers
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Commutative Lie Group VAE for Disentanglement Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Grey-box Extraction of Natural Language Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Fixed-Parameter and Approximation Algorithms for PCA with Outliers
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Valid Causal Inference with (Some) Invalid Instruments
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Practical and Private (Deep) Learning Without Sampling or Shuffling
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Robust Learning for Data Poisoning Attacks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Supervised Tree-Wasserstein Distance
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learning Diverse-Structured Networks for Adversarial Robustness
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentially Private Sliced Wasserstein Distance
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Bias-Free Scalable Gaussian Processes via Randomized Truncations
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Machine Unlearning for Random Forests
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Privacy-Preserving Feature Selection with Secure Multiparty Computation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Provably End-to-end Label-noise Learning without Anchor Points
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
High-Dimensional Gaussian Process Inference with Derivatives
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Unsupervised Part Representation by Flow Capsules
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generative Causal Explanations for Graph Neural Networks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Sampling-Based Method for Tensor Ring Decomposition
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improving Predictors via Combination Across Diverse Task Categories
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Optimal Thompson Sampling strategies for support-aware CVaR bandits
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Boosting for Online Convex Optimization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Model-Targeted Poisoning Attacks with Provable Convergence
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Statistical Estimation from Dependent Data
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Correcting Exposure Bias for Link Recommendation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
GBHT: Gradient Boosting Histogram Transform for Density Estimation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Meta-Learning Bidirectional Update Rules
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Discretization Drift in Two-Player Games
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Differentially Private Densest Subgraph Detection
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Average-Reward Off-Policy Policy Evaluation with Function Approximation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Object Segmentation Without Labels with Large-Scale Generative Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
SinIR: Efficient General Image Manipulation with Single Image Reconstruction
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Budgeted Heterogeneous Treatment Effect Estimation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
FILTRA: Rethinking Steerable CNN by Filter Transform
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Offline Meta-Reinforcement Learning with Advantage Weighting
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Online Selection Problems against Constrained Adversary
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Crystallization Learning with the Delaunay Triangulation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On Limited-Memory Subsampling Strategies for Bandits
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Active Learning for Distributionally Robust Level-Set Estimation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Locally Adaptive Label Smoothing Improves Predictive Churn
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
How rotational invariance of common kernels prevents generalization in high dimensions
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Value-at-Risk Optimization with Gaussian Processes
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning de-identified representations of prosody from raw audio
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Explaining Time Series Predictions with Dynamic Masks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding and Mitigating Accuracy Disparity in Regression
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cross-model Back-translated Distillation for Unsupervised Machine Translation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On the Problem of Underranking in Group-Fair Ranking
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Improved Algorithms for Agnostic Pool-based Active Classification
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Improving Ultrametrics Embeddings Through Coresets
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Differentially Private Bayesian Inference for Generalized Linear Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Online Algorithms with Distributional Advice
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Integer Programming for Causal Structure Learning in the Presence of Latent Variables
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Bayesian Structural Adaptation for Continual Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Streaming and Distributed Algorithms for Robust Column Subset Selection
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Operationalizing Complex Causes: A Pragmatic View of Mediation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Efficient Online Learning for Dynamic k-Clustering
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Group Fisher Pruning for Practical Network Compression
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Temporal Predictive Coding For Model-Based Planning In Latent Space
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learner-Private Convex Optimization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Large Scale Private Learning via Low-rank Reparametrization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Elementary superexpressive activations
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Projection techniques to update the truncated SVD of evolving matrices with applications
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Calibrate Before Use: Improving Few-shot Performance of Language Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Language for Counterfactual Generative Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Sharper Generalization Bounds for Clustering
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Neural Tangent Generalization Attacks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Additive Error Guarantees for Weighted Low Rank Approximation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Problem Dependent View on Structured Thresholding Bandit Problems
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unsupervised Representation Learning via Neural Activation Coding
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Oneshot Differentially Private Top-k Selection
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Framework for Private Matrix Analysis in Sliding Window Model
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
One Pass Late Fusion Multi-view Clustering
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Explanations for Monotonic Classifiers.
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Recovering AES Keys with a Deep Cold Boot Attack
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Counterfactual Explanations in Tree Ensembles
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Conjugate Energy-Based Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Solving high-dimensional parabolic PDEs using the tensor train format
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Diffusion Earth Mover's Distance and Distribution Embeddings
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fast Sketching of Polynomial Kernels of Polynomial Degree
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Equivariant Networks for Pixelized Spheres
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Label Inference Attacks from Log-loss Scores
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
STRODE: Stochastic Boundary Ordinary Differential Equation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Conditional Temporal Neural Processes with Covariance Loss
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Globally-Robust Neural Networks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Context-Aware Online Collective Inference for Templated Graphical Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
CountSketches, Feature Hashing and the Median of Three
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraged Weighted Loss for Partial Label Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
BASE Layers: Simplifying Training of Large, Sparse Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Lenient Regret and Good-Action Identification in Gaussian Process Bandits
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unitary Branching Programs: Learnability and Lower Bounds
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Understanding and Mitigating Social Biases in Language Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Neural Pharmacodynamic State Space Modeling
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Fast margin maximization via dual acceleration
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Better Robust Generalization with Shift Consistency Regularization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Online Learning with Optimism and Delay
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Blind Pareto Fairness and Subgroup Robustness
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraging Good Representations in Linear Contextual Bandits
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improving Gradient Regularization using Complex-Valued Neural Networks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Structured World Belief for Reinforcement Learning in POMDP
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Automatic variational inference with cascading flows
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On Recovering from Modeling Errors Using Testing Bayesian Networks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Link Prediction with Persistent Homology: An Interactive View
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Black-box density function estimation using recursive partitioning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Generalization Error Bound for Hyperbolic Ordinal Embedding
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Integrated Defense for Resilient Graph Matching
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Debiasing Model Updates for Improving Personalized Federated Training
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
When Does Data Augmentation Help With Membership Inference Attacks?
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learn2Hop: Learned Optimization on Rough Landscapes
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Leveraging Public Data for Practical Private Query Release
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Towards Defending against Adversarial Examples via Attack-Invariant Features
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
DANCE: Enhancing saliency maps using decoys
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Simple and Effective VAE Training with Calibrated Decoders
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Policy Caches with Successor Features
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Meta-Thompson Sampling
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularizing towards Causal Invariance: Linear Models with Proxies
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Few-shot Language Coordination by Modeling Theory of Mind
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dimensionality Reduction for the Sum-of-Distances Metric
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Efficient Statistical Tests: A Neural Tangent Kernel Approach
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Demystifying Inductive Biases for (Beta-)VAE Based Architectures
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Disentangling syntax and semantics in the brain with deep networks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Global Prosody Style Transfer Without Text Transcriptions
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Provable Lipschitz Certification for Generative Models
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Proxy Variable View of Shared Confounding
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Private Adaptive Gradient Methods for Convex Optimization
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Transferable Visual Models From Natural Language Supervision
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mixed Cross Entropy Loss for Neural Machine Translation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Monte Carlo Variational Auto-Encoders
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Permutation Weighting
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Examining and Combating Spurious Features under Distribution Shift
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Accelerating Gossip SGD with Periodic Global Averaging
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Improving Generalization in Meta-learning via Task Augmentation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Single Pass Entrywise-Transformed Low Rank Approximation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Graph Neural Networks Inspired by Classical Iterative Algorithms
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks