(1117 events)
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Tue Jul 19 07:30 AM -- 07:35 AM (PDT)
Why the Rich Get Richer? On the Balancedness of Random Partition Models
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Tue Jul 19 07:30 AM -- 07:35 AM (PDT)
Differentially Private Approximate Quantiles
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Tue Jul 19 07:30 AM -- 07:35 AM (PDT)
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
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Tue Jul 19 07:30 AM -- 07:35 AM (PDT)
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
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Tue Jul 19 07:30 AM -- 07:35 AM (PDT)
Multi-Task Learning as a Bargaining Game
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Tue Jul 19 07:30 AM -- 07:35 AM (PDT)
Structural Entropy Guided Graph Hierarchical Pooling
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Tue Jul 19 07:30 AM -- 07:35 AM (PDT)
Optimally Controllable Perceptual Lossy Compression
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Tue Jul 19 07:35 AM -- 07:40 AM (PDT)
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
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Tue Jul 19 07:35 AM -- 07:40 AM (PDT)
NysADMM: faster composite convex optimization via low-rank approximation
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Tue Jul 19 07:35 AM -- 07:40 AM (PDT)
Fused Acoustic and Text Pretraining for Speech Synthesis and Editing
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Tue Jul 19 07:35 AM -- 07:40 AM (PDT)
Self-Supervised Representation Learning via Latent Graph Prediction
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Tue Jul 19 07:35 AM -- 07:40 AM (PDT)
Frustratingly Easy Transferability Estimation
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Tue Jul 19 07:40 AM -- 07:45 AM (PDT)
On the Learning of Non-autoregressive Transformers
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Tue Jul 19 07:40 AM -- 07:45 AM (PDT)
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
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Tue Jul 19 07:40 AM -- 07:45 AM (PDT)
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
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Tue Jul 19 07:40 AM -- 07:45 AM (PDT)
Robust Models Are More Interpretable Because Attributions Look Normal
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Tue Jul 19 07:40 AM -- 07:45 AM (PDT)
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
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Tue Jul 19 07:45 AM -- 07:50 AM (PDT)
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
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Tue Jul 19 07:45 AM -- 07:50 AM (PDT)
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
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Tue Jul 19 07:45 AM -- 07:50 AM (PDT)
A Difference Standardization Method for Mutual Transfer Learning
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT)
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT)
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT)
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT)
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT)
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT)
UniREx: A Unified Learning Framework for Language Model Rationale Extraction
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT)
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT)
Controlling Conditional Language Models without Catastrophic Forgetting
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT)
A multi-objective / multi-task learning framework induced by Pareto stationarity
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT)
Analyzing and Mitigating Interference in Neural Architecture Search
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT)
Black-Box Tuning for Language-Model-as-a-Service
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT)
Provable Reinforcement Learning with a Short-Term Memory
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT)
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT)
Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT)
Certified Robustness Against Natural Language Attacks by Causal Intervention
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT)
Sparse Invariant Risk Minimization
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Tue Jul 19 08:05 AM -- 08:10 AM (PDT)
A Joint Exponential Mechanism For Differentially Private Top-$k$
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Tue Jul 19 08:05 AM -- 08:10 AM (PDT)
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
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Tue Jul 19 08:05 AM -- 08:10 AM (PDT)
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
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Tue Jul 19 08:05 AM -- 08:10 AM (PDT)
On the Practicality of Deterministic Epistemic Uncertainty
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Tue Jul 19 08:05 AM -- 08:10 AM (PDT)
Provable Domain Generalization via Invariant-Feature Subspace Recovery
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Tue Jul 19 08:05 AM -- 08:10 AM (PDT)
Co-training Improves Prompt-based Learning for Large Language Models
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Tue Jul 19 08:10 AM -- 08:15 AM (PDT)
Transfer Learning In Differential Privacy's Hybrid-Model
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Tue Jul 19 08:10 AM -- 08:15 AM (PDT)
Sparser Kernel Herding with Pairwise Conditional Gradients without Swap Steps
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Tue Jul 19 08:10 AM -- 08:15 AM (PDT)
Mirror Learning: A Unifying Framework of Policy Optimisation
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Tue Jul 19 08:10 AM -- 08:15 AM (PDT)
Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
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Tue Jul 19 08:10 AM -- 08:15 AM (PDT)
Combining Diverse Feature Priors
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Tue Jul 19 08:10 AM -- 08:15 AM (PDT)
A Closer Look at Smoothness in Domain Adversarial Training
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Tue Jul 19 08:10 AM -- 08:15 AM (PDT)
Directed Acyclic Transformer for Non-Autoregressive Machine Translation
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
Certifying Out-of-Domain Generalization for Blackbox Functions
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
Thompson Sampling for (Combinatorial) Pure Exploration
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
Dynamic Regret of Online Markov Decision Processes
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
Robust Kernel Density Estimation with Median-of-Means principle
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
Removing Batch Normalization Boosts Adversarial Training
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
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Tue Jul 19 08:15 AM -- 08:20 AM (PDT)
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
Intriguing Properties of Input-Dependent Randomized Smoothing
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
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Tue Jul 19 08:20 AM -- 08:25 AM (PDT)
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT)
Rotting infinitely many-armed bandits
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT)
Provably Adversarially Robust Nearest Prototype Classifiers
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT)
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT)
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT)
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT)
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT)
Generative Cooperative Networks for Natural Language Generation
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT)
Zero-shot AutoML with Pretrained Models
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT)
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT)
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT)
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT)
FriendlyCore: Practical Differentially Private Aggregation
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT)
Conditional GANs with Auxiliary Discriminative Classifier
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT)
Langevin Monte Carlo for Contextual Bandits
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT)
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT)
A deep convolutional neural network that is invariant to time rescaling
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT)
Efficient Variance Reduction for Meta-learning
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT)
On The Generalization Analysis of Adversarial Learning
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT)
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT)
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT)
Prompting Decision Transformer for Few-shot Policy Generalization
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT)
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT)
LyaNet: A Lyapunov Framework for Training Neural ODEs
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT)
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 301 - 303
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT)
Demystifying the Adversarial Robustness of Random Transformation Defenses
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT)
Matching Normalizing Flows and Probability Paths on Manifolds
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Hall F
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT)
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT)
Partial disentanglement for domain adaptation
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 301 - 303
Codeformer: Learning to Translate from C to CUDA
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT)
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT)
Calibrated Learning to Defer with One-vs-All Classifiers
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Hall G
Double Sampling Randomized Smoothing
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT)
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Hall F
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT)
Public Data-Assisted Mirror Descent for Private Model Training
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT)
On Collective Robustness of Bagging Against Data Poisoning
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 301 - 303
Improving Self-Supervised Speech Representations by Disentangling Speakers
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT)
Subspace Learning for Effective Meta-Learning
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Ballroom 3 & 4
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Hall G
TPC: Transformation-Specific Smoothing for Point Cloud Models
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT)
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT)
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT)
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 301 - 303
On Distribution Shift in Learning-based Bug Detectors
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 318 - 320
Continual Learning via Function-Space Variational Inference
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT)
Hindering Adversarial Attacks with Implicit Neural Representations
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Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 307
Active Sampling for Min-Max Fairness
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Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2
Differential Privacy Has Disparate Impact on Generative Models and Synthetic Data
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Tue Jul 19 08:55 AM -- 09:00 AM (PDT)
Region-Based Semantic Factorization in GANs
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Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 318 - 320
Efficient Test-Time Model Adaptation without Forgetting
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Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 327 - 329
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
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Tue Jul 19 10:30 AM -- 10:35 AM (PDT)
Additive Gaussian Processes Revisited
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Tue Jul 19 10:30 AM -- 10:35 AM (PDT)
Stochastic Reweighted Gradient Descent
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Tue Jul 19 10:30 AM -- 10:35 AM (PDT)
DNA: Domain Generalization with Diversified Neural Averaging
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Tue Jul 19 10:30 AM -- 10:35 AM (PDT)
pathGCN: Learning General Graph Spatial Operators from Paths
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Tue Jul 19 10:30 AM -- 10:35 AM (PDT)
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
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Tue Jul 19 10:30 AM -- 10:35 AM (PDT)
Meaningfully debugging model mistakes using conceptual counterfactual explanations
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Tue Jul 19 10:30 AM -- 10:35 AM (PDT)
Online Continual Learning through Mutual Information Maximization
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Tue Jul 19 10:30 AM -- 10:35 AM (PDT)
Learning to Hash Robustly, Guaranteed
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Tue Jul 19 10:35 AM -- 10:40 AM (PDT)
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
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Tue Jul 19 10:35 AM -- 10:40 AM (PDT)
Probabilistic ODE Solutions in Millions of Dimensions
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Tue Jul 19 10:35 AM -- 10:40 AM (PDT)
Graph-Coupled Oscillator Networks
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Tue Jul 19 10:35 AM -- 10:40 AM (PDT)
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
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Tue Jul 19 10:35 AM -- 10:40 AM (PDT)
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
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Tue Jul 19 10:35 AM -- 10:40 AM (PDT)
Learning Iterative Reasoning through Energy Minimization
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Tue Jul 19 10:35 AM -- 10:40 AM (PDT)
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networkson Homogeneous Spaces
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Tue Jul 19 10:40 AM -- 10:45 AM (PDT)
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
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Tue Jul 19 10:40 AM -- 10:45 AM (PDT)
Robust Counterfactual Explanations for Tree-Based Ensembles
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Tue Jul 19 10:40 AM -- 10:45 AM (PDT)
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
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Tue Jul 19 10:40 AM -- 10:45 AM (PDT)
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
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Tue Jul 19 10:40 AM -- 10:45 AM (PDT)
HousE: Knowledge Graph Embedding with Householder Parameterization
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Tue Jul 19 10:45 AM -- 10:50 AM (PDT)
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
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Tue Jul 19 10:45 AM -- 10:50 AM (PDT)
PoF: Post-Training of Feature Extractor for Improving Generalization
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Tue Jul 19 10:45 AM -- 10:50 AM (PDT)
Information Bottleneck-Guided Stochastic Attention Mechanism for Interpretable Graph Learning
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Tue Jul 19 10:45 AM -- 10:50 AM (PDT)
Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
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Tue Jul 19 10:45 AM -- 10:50 AM (PDT)
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds
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Tue Jul 19 10:50 AM -- 10:55 AM (PDT)
Massively Parallel $k$-Means Clustering for Perturbation Resilient Instances
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Tue Jul 19 10:50 AM -- 10:55 AM (PDT)
Learning Transferable Polices By Inferring Agent Morphology
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Tue Jul 19 10:50 AM -- 10:55 AM (PDT)
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
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Tue Jul 19 10:50 AM -- 10:55 AM (PDT)
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
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Tue Jul 19 10:50 AM -- 10:55 AM (PDT)
Robust Group Synchronization via Quadratic Programming
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Tue Jul 19 10:50 AM -- 10:55 AM (PDT)
Improving Ensemble Distillation with Weight Averaging and Diversifying Perturbation
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Tue Jul 19 10:50 AM -- 10:55 AM (PDT)
Interactive Correlation Clustering with Existential Cluster Constraints
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT)
Policy Gradient Method For Robust Reinforcement Learning
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT)
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT)
Residual-based Sampling for Online Outlier Robust PCA
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT)
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT)
Framework for Evaluating Faithfulness of Local Explanations
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT)
UAST: Uncertainty-Aware Siamese Tracking
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT)
Set Based Stochastic Subsampling
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Tue Jul 19 10:55 AM -- 11:00 AM (PDT)
Simultaneous Graph Signal Clustering and Graph Learning
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Tue Jul 19 11:00 AM -- 11:05 AM (PDT)
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
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Tue Jul 19 11:00 AM -- 11:05 AM (PDT)
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
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Tue Jul 19 11:00 AM -- 11:05 AM (PDT)
A query-optimal algorithm for finding counterfactuals
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Tue Jul 19 11:00 AM -- 11:05 AM (PDT)
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
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Tue Jul 19 11:00 AM -- 11:05 AM (PDT)
A Consistent and Efficient Evaluation Strategy for Attribution Methods
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Tue Jul 19 11:00 AM -- 11:05 AM (PDT)
SpeqNets: Sparsity-aware permutation-equivariant graph networks
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Tue Jul 19 11:00 AM -- 11:05 AM (PDT)
Bregman Power k-Means for Clustering Exponential Family Data
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Tue Jul 19 11:00 AM -- 11:05 AM (PDT)
Improving Generic Models for Image-Goal Navigation
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Tue Jul 19 11:05 AM -- 11:10 AM (PDT)
Fenrir: Physics-Enhanced Regression for Initial Value Problems
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Tue Jul 19 11:05 AM -- 11:10 AM (PDT)
Linear Bandit Algorithms with Sublinear Time Complexity
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Tue Jul 19 11:05 AM -- 11:10 AM (PDT)
FedNL: Making Newton-Type Methods Applicable to Federated Learning
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Tue Jul 19 11:05 AM -- 11:10 AM (PDT)
You Only Cut Once: Boosting Data Augmentation with a Single Cut
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Tue Jul 19 11:05 AM -- 11:10 AM (PDT)
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
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Tue Jul 19 11:05 AM -- 11:10 AM (PDT)
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
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Tue Jul 19 11:05 AM -- 11:10 AM (PDT)
Interpretable Off-Policy Learning via Hyperbox Search
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Tue Jul 19 11:10 AM -- 11:15 AM (PDT)
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
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Tue Jul 19 11:10 AM -- 11:15 AM (PDT)
Adaptive Gaussian Process Change Point Detection
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Tue Jul 19 11:10 AM -- 11:15 AM (PDT)
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
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Tue Jul 19 11:10 AM -- 11:15 AM (PDT)
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
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Tue Jul 19 11:10 AM -- 11:15 AM (PDT)
Generative Modeling for Multitask Visual Learning
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Tue Jul 19 11:10 AM -- 11:15 AM (PDT)
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
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Tue Jul 19 11:10 AM -- 11:15 AM (PDT)
Graph Neural Architecture Search Under Distribution Shifts
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Tue Jul 19 11:15 AM -- 11:20 AM (PDT)
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
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Tue Jul 19 11:15 AM -- 11:20 AM (PDT)
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
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Tue Jul 19 11:15 AM -- 11:20 AM (PDT)
Variational nearest neighbor Gaussian process
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Tue Jul 19 11:15 AM -- 11:20 AM (PDT)
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
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Tue Jul 19 11:15 AM -- 11:20 AM (PDT)
How Powerful are Spectral Graph Neural Networks
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Tue Jul 19 11:15 AM -- 11:20 AM (PDT)
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
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Tue Jul 19 11:15 AM -- 11:20 AM (PDT)
XAI for Transformers: Better Explanations through Conservative Propagation
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT)
Streaming Algorithms for Support-Aware Histograms
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT)
Generalizing to New Physical Systems via Context-Informed Dynamics Model
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT)
Correlated quantization for distributed mean estimation and optimization
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT)
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT)
Parametric Visual Program Induction with Function Modularization
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT)
Constraint-based graph network simulator
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT)
Confidence Score for Source-Free Unsupervised Domain Adaptation
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT)
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding
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Tue Jul 19 11:25 AM -- 11:30 AM (PDT)
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
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Tue Jul 19 11:25 AM -- 11:30 AM (PDT)
Bayesian Optimization under Stochastic Delayed Feedback
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Tue Jul 19 11:25 AM -- 11:30 AM (PDT)
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
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Tue Jul 19 11:25 AM -- 11:30 AM (PDT)
Self-conditioning Pre-Trained Language Models
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Tue Jul 19 11:25 AM -- 11:30 AM (PDT)
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
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Tue Jul 19 11:25 AM -- 11:30 AM (PDT)
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT)
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT)
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT)
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT)
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT)
Structure-Aware Transformer for Graph Representation Learning
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT)
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT)
Global Optimization of K-Center Clustering
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 309
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT)
Faster Algorithms for Learning Convex Functions
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT)
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT)
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT)
Neural Implicit Dictionary Learning via Mixture-of-Expert Training
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT)
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 309
PMIC: Improving Multi-Agent Reinforcement Learning with ProgressiveMutual Information Collaboration
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT)
Probabilistic Bilevel Coreset Selection
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT)
Feature selection using e-values
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT)
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT)
Understanding Doubly Stochastic Clustering
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT)
Large-Scale Graph Neural Architecture Search
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Hall F
Time Is MattEr: Temporal Self-supervision for Video Transformers
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT)
ActiveHedge: Hedge meets Active Learning
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 318 - 320
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 309
Supervised Off-Policy Ranking
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Ballroom 1 & 2
Semiparametric Subgraph Reasoning for Question Answering over Large Knowledge Bases
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 307
Efficient First-Order Bayesian Optimization via Structured Automatic Differentiation
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT)
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT)
A Tighter Analysis of Spectral Clustering, and Beyond
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Hall F
Channel Importance Matters in Few-Shot Image Classification
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT)
Optimization-induced Implicit Graph Diffusion
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT)
One-Pass algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT)
The algebraic path problem for graph metrics
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 318 - 320
On Implicit Bias in Overparameterized Bilevel Optimization
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 309
The Primacy Bias in Deep Reinforcement Learning
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT)
On the Adversarial Robustness of Causal Algorithmic Recourse
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Ballroom 1 & 2
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Hall F
Benchmarking and Analyzing Point Cloud Classification under Corruptions
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT)
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT)
Deep and Flexible Graph Neural Architecture Search
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Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Room 309
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
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Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Room 310
Steerable 3D Spherical Neurons
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Tue Jul 19 11:55 AM -- 12:00 PM (PDT)
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
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Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Ballroom 3 & 4
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
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Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Hall F
Understanding The Robustness in Vision Transformers
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Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Room 301 - 303
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT)
Algorithms for the Communication of Samples
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT)
Selective Network Linearization for Efficient Private Inference
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT)
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT)
Prototype Based Classification from Hierarchy to Fairness
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT)
Coordinated Double Machine Learning
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT)
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT)
Rethinking Convergence in Deep Learning: Beyond Stationary Points
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT)
Modeling Irregular Time Series with Continuous Recurrent Units
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT)
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT)
On the Effects of Artificial Data Modification
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT)
TACTiS: Transformer-Attentional Copulas for Time Series
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT)
Exploiting Independent Instruments: Identification and Distribution Generalization
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT)
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT)
Simple and near-optimal algorithms for hidden stratification and multi-group learning
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT)
Robust SDE-based variational formulations for solving linear PDEs via deep learning
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT)
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT)
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT)
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT)
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT)
Partial Counterfactual Identification from Observational and Experimental Data
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT)
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT)
Uncertainty Modeling in Generative Compressed Sensing
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT)
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT)
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT)
LSB: Local Self-Balancing MCMC in Discrete Spaces
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT)
On Measuring Causal Contributions via do-interventions
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT)
Understanding the unstable convergence of gradient descent
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT)
The Role of Deconfounding in Meta-learning
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT)
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT)
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT)
A Langevin-like Sampler for Discrete Distributions
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT)
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT)
Going Deeper into Permutation-Sensitive Graph Neural Networks
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT)
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT)
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT)
Learning from Counterfactual Links for Link Prediction
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT)
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT)
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT)
MAE-DET: Revisiting Maximal Entropy Principle in Zero-Shot NAS for Efficient Object Detection
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT)
Greedy when Sure and Conservative when Uncertain about the Opponents
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT)
Low-Precision Stochastic Gradient Langevin Dynamics
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT)
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
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Tue Jul 19 01:50 PM -- 01:55 PM (PDT)
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
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Tue Jul 19 01:50 PM -- 01:55 PM (PDT)
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
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Tue Jul 19 01:50 PM -- 01:55 PM (PDT)
Describing Differences between Text Distributions with Natural Language
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Tue Jul 19 01:50 PM -- 01:55 PM (PDT)
Continual Repeated Annealed Flow Transport Monte Carlo
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Tue Jul 19 01:50 PM -- 01:55 PM (PDT)
Self-Organized Polynomial-Time Coordination Graphs
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Tue Jul 19 01:50 PM -- 01:55 PM (PDT)
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
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Tue Jul 19 01:55 PM -- 02:00 PM (PDT)
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
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Tue Jul 19 01:55 PM -- 02:00 PM (PDT)
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
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Tue Jul 19 01:55 PM -- 02:00 PM (PDT)
Distinguishing rule- and exemplar-based generalization in learning systems
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Tue Jul 19 01:55 PM -- 02:00 PM (PDT)
Individual Reward Assisted Multi-Agent Reinforcement Learning
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Tue Jul 19 02:00 PM -- 02:05 PM (PDT)
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
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Tue Jul 19 02:00 PM -- 02:05 PM (PDT)
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
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Tue Jul 19 02:00 PM -- 02:05 PM (PDT)
CerDEQ: Certifiable Deep Equilibrium Model
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Tue Jul 19 02:00 PM -- 02:05 PM (PDT)
Online Balanced Experimental Design
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Tue Jul 19 02:00 PM -- 02:05 PM (PDT)
Burst-dependent plasticity and dendritic amplification support target-based learning and hierarchical imitation learning
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Tue Jul 19 02:00 PM -- 02:05 PM (PDT)
Generalized Beliefs for Cooperative AI
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Tue Jul 19 02:00 PM -- 02:05 PM (PDT)
Bit Prioritization in Variational Autoencoders via Progressive Coding
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Tue Jul 19 02:05 PM -- 02:10 PM (PDT)
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
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Tue Jul 19 02:05 PM -- 02:10 PM (PDT)
Minimax M-estimation under Adversarial Contamination
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Tue Jul 19 02:05 PM -- 02:10 PM (PDT)
CITRIS: Causal Identifiability from Temporal Intervened Sequences
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Tue Jul 19 02:05 PM -- 02:10 PM (PDT)
Improving language models by retrieving from trillions of tokens
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Tue Jul 19 02:05 PM -- 02:10 PM (PDT)
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
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Tue Jul 19 02:05 PM -- 02:10 PM (PDT)
Generative Flow Networks for Discrete Probabilistic Modeling
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT)
Causal structure-based root cause analysis of outliers
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT)
Fast and Provable Nonconvex Tensor RPCA
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT)
Closed-Form Diffeomorphic Transformations for Time Series Alignment
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT)
Diffusion bridges vector quantized variational autoencoders
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT)
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT)
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT)
Towards Understanding Convergence of Simultaneous Gradient Descent-Ascent in Minimax Optimization
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT)
Instrumental Variable Regression with Confounder Balancing
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT)
Mitigating modality collapse in multimodal VAEs via impartial optimization
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT)
How to Fill the Optimal Set? Population Gradient Descent with Harmless Diversity
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Tue Jul 19 02:20 PM -- 02:25 PM (PDT)
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
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Tue Jul 19 02:20 PM -- 02:25 PM (PDT)
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
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Tue Jul 19 02:20 PM -- 02:25 PM (PDT)
Causal Transformer for Estimating Counterfactual Outcomes
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Tue Jul 19 02:20 PM -- 02:25 PM (PDT)
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
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Tue Jul 19 02:20 PM -- 02:25 PM (PDT)
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
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Tue Jul 19 02:25 PM -- 02:30 PM (PDT)
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent
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Tue Jul 19 02:25 PM -- 02:30 PM (PDT)
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
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Tue Jul 19 02:25 PM -- 02:30 PM (PDT)
Causal Inference Through the Structural Causal Marginal Problem
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Tue Jul 19 02:25 PM -- 02:30 PM (PDT)
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
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Tue Jul 19 02:25 PM -- 02:30 PM (PDT)
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
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Tue Jul 19 02:25 PM -- 02:30 PM (PDT)
Minimizing Control for Credit Assignment with Strong Feedback
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Tue Jul 19 02:30 PM -- 02:35 PM (PDT)
The Teaching Dimension of Regularized Kernel Learners
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Tue Jul 19 02:30 PM -- 02:35 PM (PDT)
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries
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Tue Jul 19 02:30 PM -- 02:35 PM (PDT)
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
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Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 318 - 320
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
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Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 309
Anticorrelated Noise Injection for Improved Generalization
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Tue Jul 19 02:30 PM -- 02:35 PM (PDT)
Self-supervised models of audio effectively explain human cortical responses to speech
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Tue Jul 19 02:30 PM -- 02:35 PM (PDT)
Fast Lossless Neural Compression with Integer-Only Discrete Flows
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Tue Jul 19 02:35 PM -- 02:40 PM (PDT)
Multiclass learning with margin: exponential rates with no bias-variance trade-off
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Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 307
Fast Relative Entropy Coding with A* coding
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Tue Jul 19 02:35 PM -- 02:40 PM (PDT)
Boosting Graph Structure Learning with Dummy Nodes
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Tue Jul 19 02:35 PM -- 02:40 PM (PDT)
Forgetting-free Continual Learning with Winning Subnetworks
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Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 318 - 320
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
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Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Ballroom 3 & 4
Matching Learned Causal Effects of Neural Networks with Domain Priors
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Tue Jul 19 02:35 PM -- 02:40 PM (PDT)
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
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Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 301 - 303
Towards Scaling Difference Target Propagation by Learning Backprop Targets
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Tue Jul 19 02:40 PM -- 02:45 PM (PDT)
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
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Tue Jul 19 02:40 PM -- 02:45 PM (PDT)
Lazy Estimation of Variable Importance for Large Neural Networks
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Tue Jul 19 02:40 PM -- 02:45 PM (PDT)
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
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Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 307
Accurate Quantization of Measures via Interacting Particle-based Optimization
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Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 318 - 320
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
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Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Ballroom 3 & 4
Heteroscedastic Noise Based Causal Inference
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Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 301 - 303
Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold
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Tue Jul 19 02:40 PM -- 02:45 PM (PDT)
Hierarchical Few-Shot Generative Models
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Wed Jul 20 07:30 AM -- 07:35 AM (PDT)
Weisfeiler-Lehman meets Gromov-Wasserstein
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Wed Jul 20 07:30 AM -- 07:35 AM (PDT)
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
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Wed Jul 20 07:30 AM -- 07:35 AM (PDT)
Towards understanding how momentum improves generalization in deep learning
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Wed Jul 20 07:30 AM -- 07:35 AM (PDT)
On Numerical Integration in Neural Ordinary Differential Equations
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Wed Jul 20 07:30 AM -- 07:35 AM (PDT)
Learning Domain Adaptive Object Detection with Probabilistic Teacher
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Wed Jul 20 07:30 AM -- 07:35 AM (PDT)
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
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Wed Jul 20 07:30 AM -- 07:35 AM (PDT)
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
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Wed Jul 20 07:30 AM -- 07:35 AM (PDT)
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
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Wed Jul 20 07:35 AM -- 07:40 AM (PDT)
Surrogate Likelihoods for Variational Annealed Importance Sampling
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Wed Jul 20 07:35 AM -- 07:40 AM (PDT)
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams
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Wed Jul 20 07:35 AM -- 07:40 AM (PDT)
GenLabel: Mixup Relabeling using Generative Models
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Wed Jul 20 07:35 AM -- 07:40 AM (PDT)
Label-Free Explainability for Unsupervised Models
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Wed Jul 20 07:35 AM -- 07:40 AM (PDT)
Adaptive Data Analysis with Correlated Observations
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Wed Jul 20 07:35 AM -- 07:40 AM (PDT)
What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?
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Wed Jul 20 07:35 AM -- 07:40 AM (PDT)
Reverse Engineering the Neural Tangent Kernel
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Wed Jul 20 07:35 AM -- 07:40 AM (PDT)
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT)
Principled Knowledge Extrapolation with GANs
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT)
Efficient PAC Learning from the Crowd with Pairwise Comparisons
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT)
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT)
When and How Mixup Improves Calibration: A Theoretical View
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT)
Deep equilibrium networks are sensitive to initialization statistics
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT)
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT)
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT)
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
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Wed Jul 20 07:45 AM -- 07:50 AM (PDT)
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
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Wed Jul 20 07:45 AM -- 07:50 AM (PDT)
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
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Wed Jul 20 07:45 AM -- 07:50 AM (PDT)
A Study of Face Obfuscation in ImageNet
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Wed Jul 20 07:45 AM -- 07:50 AM (PDT)
On Transportation of Mini-batches: A Hierarchical Approach
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Wed Jul 20 07:45 AM -- 07:50 AM (PDT)
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
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Wed Jul 20 07:45 AM -- 07:50 AM (PDT)
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework
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Wed Jul 20 07:45 AM -- 07:50 AM (PDT)
On the Statistical Benefits of Curriculum Learning
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Wed Jul 20 07:45 AM -- 07:50 AM (PDT)
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT)
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT)
Fair Representation Learning through Implicit Path Alignment
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT)
Variational Sparse Coding with Learned Thresholding
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT)
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT)
Data Augmentation as Feature Manipulation: a story of desert cows and grass cows
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT)
Generalized Data Distribution Iteration
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT)
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT)
Feature and Parameter Selection in Stochastic Linear Bandits
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Wed Jul 20 07:55 AM -- 08:00 AM (PDT)
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
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Wed Jul 20 07:55 AM -- 08:00 AM (PDT)
Convolutional and Residual Networks Provably Contain Lottery Tickets
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Wed Jul 20 07:55 AM -- 08:00 AM (PDT)
Optimizing Tensor Network Contraction Using Reinforcement Learning
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Wed Jul 20 07:55 AM -- 08:00 AM (PDT)
Local Augmentation for Graph Neural Networks
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Wed Jul 20 07:55 AM -- 08:00 AM (PDT)
Mitigating Neural Network Overconfidence with Logit Normalization
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Wed Jul 20 07:55 AM -- 08:00 AM (PDT)
Bayesian Imitation Learning for End-to-End Mobile Manipulation
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Wed Jul 20 08:00 AM -- 08:05 AM (PDT)
Feature Learning and Signal Propagation in Deep Neural Networks
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Wed Jul 20 08:00 AM -- 08:05 AM (PDT)
De novo mass spectrometry peptide sequencing with a transformer model
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Wed Jul 20 08:00 AM -- 08:05 AM (PDT)
History Compression via Language Models in Reinforcement Learning
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Wed Jul 20 08:00 AM -- 08:05 AM (PDT)
On Non-local Convergence Analysis of Deep Linear Networks
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Wed Jul 20 08:00 AM -- 08:05 AM (PDT)
Streaming Algorithms for High-Dimensional Robust Statistics
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Wed Jul 20 08:00 AM -- 08:05 AM (PDT)
Learning fair representation with a parametric integral probability metric
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Wed Jul 20 08:05 AM -- 08:10 AM (PDT)
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
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Wed Jul 20 08:05 AM -- 08:10 AM (PDT)
Contextual Bandits with Large Action Spaces: Made Practical
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Wed Jul 20 08:05 AM -- 08:10 AM (PDT)
On the Equivalence Between Temporal and Static Equivariant Graph Representations
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Wed Jul 20 08:05 AM -- 08:10 AM (PDT)
Benefits of Deep and Wide Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT)
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT)
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT)
Fair Generalized Linear Models with a Convex Penalty
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT)
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT)
Diversified Adversarial Attacks based on Conjugate Gradient Method
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT)
Identifiability Conditions for Domain Adaptation
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT)
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Spotlight
Wed Jul 20 08:15 AM -- 08:20 AM (PDT)
Extracting Latent State Representations with Linear Dynamics from Rich Observations
Spotlight
Wed Jul 20 08:15 AM -- 08:20 AM (PDT)
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Optimization
Spotlight
Wed Jul 20 08:15 AM -- 08:20 AM (PDT)
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling
Spotlight
Wed Jul 20 08:15 AM -- 08:20 AM (PDT)
Structured Stochastic Gradient MCMC
Spotlight
Wed Jul 20 08:15 AM -- 08:20 AM (PDT)
Efficient Learning for Alpha Zero via Path Consistency
Spotlight
Wed Jul 20 08:15 AM -- 08:20 AM (PDT)
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Spotlight
Wed Jul 20 08:15 AM -- 08:20 AM (PDT)
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
Spotlight
Wed Jul 20 08:20 AM -- 08:25 AM (PDT)
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
Spotlight
Wed Jul 20 08:20 AM -- 08:25 AM (PDT)
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Spotlight
Wed Jul 20 08:20 AM -- 08:25 AM (PDT)
Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Spotlight
Wed Jul 20 08:20 AM -- 08:25 AM (PDT)
Deep Network Approximation in Terms of Intrinsic Parameters
Spotlight
Wed Jul 20 08:20 AM -- 08:25 AM (PDT)
A data-driven approach for learning to control computers
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT)
Finite-Sum Coupled Compositional Stochastic Optimization: Theories and Applications
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT)
Rethinking Fano’s Inequality in Ensemble Learning
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT)
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Room 309
Coin Flipping Neural Networks
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT)
Zero-Shot Reward Specification via Grounded Natural Language
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT)
Fast Composite Optimization and Statistical Recovery in Federated Learning
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT)
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT)
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT)
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT)
Improving Mini-batch Optimal Transport via Partial Transportation
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT)
Understanding Instance-Level Impact of Fairness Constraints
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT)
Popular decision tree algorithms are provably noise tolerant
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT)
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT)
ProxSkip: A Simple and Provably Effective Communication-Acceleration Technique for Federated Learning
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT)
Achieving Fairness at No Utility Cost via Data Reweighing
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT)
Robust Training of Deep Networks by Sparse Over-parameterization
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT)
Minimax rate of consistency for linear models with missing values
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT)
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT)
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 327 - 329
Communication-Efficient Adaptive Federated Learning
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT)
Deep Reference Priors: What is the best way to pretrain a model?
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT)
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT)
Implicit Bias of the Step Size in Linear Diagonal Neural Networks
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT)
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT)
Permutation Search of Tensor Network Structures via Local Sampling
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Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 310
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT)
Proximal Exploration for Model-guided Protein Sequence Design
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT)
Variational Feature Pyramid Networks
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Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 327 - 329
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT)
Robust Fine-tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 318 - 320
Selective Regression under Fairness Criteria
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT)
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Ballroom 3 & 4
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 309
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 327 - 329
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT)
The Transfo-k-mer: protein fitness prediction with auto-regressive transformers and inference-time retrieval
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT)
Reparametrisation Gradient and Convergent SGD for Non-Differentiable Models via Smoothing: A Programming Language Approach
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 307
Improving Policy Optimization with Generalist-Specialist Learning
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 318 - 320
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Hall F
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Ballroom 3 & 4
DNNR: Differential Nearest Neighbors Regression
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 309
Equivariant graph neural networks with complete local frames
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT)
From data to functa: Your data point is a function and you should treat it like one
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT)
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT)
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT)
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT)
Decomposing Temporal High-Order Interactions via Latent ODEs
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT)
Online Learning and Pricing with Reusable Resources: Linear Bandit with Sub-exponential Rewards
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT)
Generating Distributional Adversarial Examples to Evade Statistical Detectors
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT)
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT)
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT)
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT)
A Resilient Distributed Boosting Algorithm
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT)
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT)
Analysis of Stochastic Processes through Replay Buffers
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT)
On the Finite-Time Performance of the Knowledge Gradient Algorithm
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT)
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT)
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT)
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT)
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT)
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT)
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT)
Communicating via Maximum Entropy Reinforcement Learning
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT)
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT)
Modeling Structure with Undirected Neural Networks
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT)
Causal Inference Principles for Reasoning about Commonsense Causality
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT)
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT)
Role-based Multiplex Network Embedding
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT)
Certified Neural Network Watermarks with Randomized Smoothing
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT)
Generative Coarse-Graining of Molecular Conformations
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT)
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT)
No-Regret Learning in Time-Varying Zero-Sum Games
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT)
Modeling Adversarial Noise for Adversarial Training
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT)
Differentiable Top-k Classification Learning
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT)
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT)
LIMO: Latent Inceptionism for Targeted Molecule Generation
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT)
DNS: Determinantal Point Process Based Neural Network Sampler\\ for Ensemble Reinforcement Learning
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT)
Measure Estimation in the Barycentric Coding Model
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT)
Achieving Minimax Rates in Pool-Based Batch Active Learning
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT)
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT)
Improving Adversarial Robustness via Mutual Information Estimation
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT)
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT)
Learning to Separate Voices by Spatial Regions
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT)
Adversarial Vulnerability of Randomized Ensembles
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT)
COAT: Measuring Object Compositionality in Emergent Representations
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT)
Active Multi-Task Representation Learning
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT)
Denoised MDPs: Learning World Models Better Than the World Itself
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT)
Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT)
FOCUS: FAMILIAR OBJECTS IN COMMON AND UNCOMMON SETTINGS
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT)
Congested Bandits: Optimal Routing via Short-term Resets
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT)
A Temporal-Difference Approach to Policy Gradient Estimation
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT)
Thompson Sampling for Robust Transfer in Multi-Task Bandits
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT)
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT)
The CLRS Algorithmic Reasoning Benchmark
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT)
Counterfactual Transportability: A Formal Approach
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT)
Probabilistic Inverse Optimal Transport
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT)
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT)
Training Your Sparse Neural Network Better with Any Mask
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT)
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT)
Estimation of Linear Non-Gaussian Latent Hierarchical Structure
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT)
3D Infomax improves GNNs for Molecular Property Prediction
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (PDT)
Sanity Simulations for Saliency Methods
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (PDT)
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (PDT)
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (PDT)
PDE-Based Optimal Strategy for Unconstrained Online Learning
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (PDT)
Federated Learning with Positive and Unlabeled Data
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (PDT)
Biological Sequence Design with GFlowNets
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (PDT)
Wide Neural Networks Forget Less Catastrophically
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (PDT)
Sample-Efficient Reinforcement Learning for POMDPs with Linear Function Approximations
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (PDT)
Metric-Fair Classifier Derandomization
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT)
Out-of-distribution Detection with Deep Nearest Neighbors
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT)
Streaming Inference for Infinite Feature Models
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT)
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT)
Improving Out-of-Distribution Robustness via Selective Augmentation
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT)
DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT)
Interactively Learning Preference Constraints in Linear Bandits
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT)
Actor-Critic based Improper Reinforcement Learning
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT)
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT)
MAML and ANIL Provably Learn Representations
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT)
Differentially Private Maximal Information Coefficients
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT)
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT)
Data Determines Distributional Robustness in Contrastive Language Image Pre-training
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT)
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT)
Convergence of Uncertainty Sampling for Active Learning
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT)
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT)
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT)
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT)
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT)
Approximate Bayesian Computation with Domain Expert in the Loop
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT)
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Room 318 - 320
Neurotoxin: Durable Backdoors in Federated Learning
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT)
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT)
The Geometry of Robust Value Functions
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT)
Action-Sufficient State Representation Learning for Control with Structural Constraints
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT)
Variational Inference for Infinitely Deep Neural Networks
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT)
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT)
Understanding Robust Generalization in Learning Regular Languages
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT)
Revisiting Consistency Regularization for Deep Partial Label Learning
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT)
C-MinHash: Improving Minwise Hashing with Circulant Permutation
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT)
Delayed Reinforcement Learning by Imitation
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT)
Adversarial Attacks and Defenses for Non-Parametric Two-Sample Tests
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT)
Personalized Federated Learning via Variational Bayesian Inference
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT)
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT)
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT)
Reachability Constrained Reinforcement Learning
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT)
Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
$p$-Laplacian Based Graph Neural Networks
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
The dynamics of representation learning in shallow, non-linear autoencoders
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
The Infinite Contextual Graph Markov Model
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
Improved Regret for Differentially Private Exploration in Linear MDP
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
Gradient Descent on Neurons and its Link to Approximate Second-order Optimization
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
Provable Acceleration of Heavy Ball beyond Quadratics for a class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
Certified Adversarial Robustness Under the Bounded Support Set
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
Sampling from wide Bayesian neural networks
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT)
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 307
Adaptive Model Design for Markov Decision Process
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Hall G
Generalization and Robustness Implications in Object-Centric Learning
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Differentially Private Community Detection for Stochastic Block Models
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Equivariant Quantum Graph Circuits
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Implicit Bias of Linear Equivariant Networks
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Bayesian Nonparametrics for Offline Skill Discovery
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Matching Structure for Dual Learning
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 301 - 303
Bayesian Deep Embedding Topic Meta-Learner
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Predicting Out-of-Distribution Error with the Projection Norm
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Hall F
Path-aware and structure-preserving generation of synthetically accessible molecules
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
Constants Matter: The Performance Gains of Active Learning
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT)
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 307
Objective Robustness in Deep Reinforcement Learning
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
The State of Sparse Training in Deep Reinforcement Learning
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
A Theoretical Comparison of Graph Neural Network Extensions
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
Convergence of policy gradient for entropy regularized MDPs with neural network approximation in the mean-field regime
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
Partial Label Learning via Label Influence Function
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
Detached Error Feedback for Distributed SGD with Random Sparsification
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
Efficient Online ML API Selection for Multi-Label Classification Tasks
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
Auxiliary Learning with Joint Task and Data Scheduling
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT)
Random Forest Density Estimation
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 301 - 303
Efficient Approximate Inference for Stationary Kernel on Frequency domain
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 318 - 320
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Ballroom 3 & 4
Cross-Space Active Learning on Graph Convolutional Networks
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Hall F
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2
Multicoated Supermasks Enhance Hidden Networks
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Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 310
Short-Term Plasticity Neurons Learning to Learn and Forget
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
Failure and success of the spectral bias prediction for Kernel Ridge Regression: the case of low-dimensional data
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
Variational On-the-Fly Personalization
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
Curriculum Reinforcement Learning via Constrained Optimal Transport
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
Hermite Polynomial Features for Private Data Generation
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
Entropic Causal Inference: Graph Identifiability
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
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Wed Jul 20 11:45 AM -- 11:50 AM (PDT)
Training OOD Detectors in Their Natural Habitats
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Wed Jul 20 11:50 AM -- 11:55 AM (PDT)
Architecture Agnostic Federated Learning for Neural Networks
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Wed Jul 20 11:50 AM -- 11:55 AM (PDT)
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
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Wed Jul 20 11:50 AM -- 11:55 AM (PDT)
Deep symbolic regression for recurrence prediction
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Wed Jul 20 11:50 AM -- 11:55 AM (PDT)
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
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Wed Jul 20 11:50 AM -- 11:55 AM (PDT)
Recurrent Model-Free RL can be a Strong Baseline for Many POMDPs
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Wed Jul 20 11:50 AM -- 11:55 AM (PDT)
Understanding Robust Overfitting of Adversarial Training and Beyond
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Wed Jul 20 11:50 AM -- 11:55 AM (PDT)
Datamodels: Understanding Predictions with Data and Data with Predictions
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Wed Jul 20 11:50 AM -- 11:55 AM (PDT)
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
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Wed Jul 20 11:50 AM -- 11:55 AM (PDT)
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
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Wed Jul 20 11:55 AM -- 12:00 PM (PDT)
Deduplicating Training Data Mitigates Privacy Risks
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Wed Jul 20 11:55 AM -- 12:00 PM (PDT)
Generalizing Gaussian Smoothing for Random Search
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Wed Jul 20 11:55 AM -- 12:00 PM (PDT)
Conformal Prediction Sets with Limited False Positives
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Wed Jul 20 11:55 AM -- 12:00 PM (PDT)
A random matrix analysis of online learning: coping with limited memory resources
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Wed Jul 20 11:55 AM -- 12:00 PM (PDT)
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
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Wed Jul 20 11:55 AM -- 12:00 PM (PDT)
Neural Tangent Kernel Empowered Federated Learning
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Wed Jul 20 11:55 AM -- 12:00 PM (PDT)
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
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Wed Jul 20 11:55 AM -- 12:00 PM (PDT)
GMC - Geometric Contrastive Multimodal Representation Learning
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Wed Jul 20 12:00 PM -- 12:05 PM (PDT)
Private frequency estimation via projective geometry
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Wed Jul 20 12:00 PM -- 12:05 PM (PDT)
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification
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Wed Jul 20 12:00 PM -- 12:05 PM (PDT)
Universality of Winning Tickets: A Renormalization Group Perspective
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Wed Jul 20 12:00 PM -- 12:05 PM (PDT)
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
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Wed Jul 20 12:00 PM -- 12:05 PM (PDT)
Constrained Offline Policy Optimization
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Wed Jul 20 12:00 PM -- 12:05 PM (PDT)
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
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Wed Jul 20 12:00 PM -- 12:05 PM (PDT)
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
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Wed Jul 20 12:05 PM -- 12:10 PM (PDT)
A Differential Entropy Estimator for Training Neural Networks
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Wed Jul 20 12:05 PM -- 12:10 PM (PDT)
A Study on the Ramanujan Graph Property of Winning Lottery Tickets
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Wed Jul 20 12:05 PM -- 12:10 PM (PDT)
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
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Wed Jul 20 12:05 PM -- 12:10 PM (PDT)
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning
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Wed Jul 20 12:05 PM -- 12:10 PM (PDT)
Secure Quantized Training for Deep Learning
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Wed Jul 20 12:05 PM -- 12:10 PM (PDT)
Supervised Learning with General Risk Functionals
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Wed Jul 20 12:10 PM -- 12:15 PM (PDT)
SDQ: Stochastic Differentiable Quantization with Mixed Precision
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Wed Jul 20 12:10 PM -- 12:15 PM (PDT)
Locally Sparse Neural Networks for Tabular Biomedical Data
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Wed Jul 20 12:10 PM -- 12:15 PM (PDT)
The Pathway Race Reduction: Dynamics of Abstraction in Gated Networks
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Wed Jul 20 12:10 PM -- 12:15 PM (PDT)
Feature Space Particle Inference for Neural Network Ensembles
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Wed Jul 20 12:10 PM -- 12:15 PM (PDT)
A Statistical Manifold Framework for Point Cloud Data
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Wed Jul 20 12:10 PM -- 12:15 PM (PDT)
Faster Privacy Accounting via Evolving Discretization
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Wed Jul 20 12:10 PM -- 12:15 PM (PDT)
Loss Function Learning for Domain Generalization by Implicit Gradient
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Wed Jul 20 12:15 PM -- 12:20 PM (PDT)
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
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Wed Jul 20 12:15 PM -- 12:20 PM (PDT)
Efficient Learning of CNNs using Patch Based Features
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Wed Jul 20 12:15 PM -- 12:20 PM (PDT)
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
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Wed Jul 20 12:15 PM -- 12:20 PM (PDT)
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
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Wed Jul 20 12:20 PM -- 12:25 PM (PDT)
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
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Wed Jul 20 12:20 PM -- 12:25 PM (PDT)
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
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Wed Jul 20 12:20 PM -- 12:25 PM (PDT)
Inducing Causal Structure for Interpretable Neural Networks
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Wed Jul 20 12:20 PM -- 12:25 PM (PDT)
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
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Wed Jul 20 12:20 PM -- 12:25 PM (PDT)
Private Adaptive Optimization with Side information
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Wed Jul 20 12:20 PM -- 12:25 PM (PDT)
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
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Wed Jul 20 12:25 PM -- 12:30 PM (PDT)
Risk-Averse No-Regret Learning in Online Convex Games
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Wed Jul 20 12:25 PM -- 12:30 PM (PDT)
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
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Wed Jul 20 12:25 PM -- 12:30 PM (PDT)
Learning Symmetric Embeddings for Equivariant World Models
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Wed Jul 20 12:25 PM -- 12:30 PM (PDT)
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
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Wed Jul 20 12:25 PM -- 12:30 PM (PDT)
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
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Wed Jul 20 12:30 PM -- 12:35 PM (PDT)
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
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Wed Jul 20 12:30 PM -- 12:35 PM (PDT)
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters
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Wed Jul 20 12:30 PM -- 12:35 PM (PDT)
Reinforcement Learning with Action-Free Pre-Training from Videos
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Wed Jul 20 12:30 PM -- 12:35 PM (PDT)
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
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Wed Jul 20 12:35 PM -- 12:40 PM (PDT)
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
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Wed Jul 20 12:35 PM -- 12:40 PM (PDT)
Robust Multi-Objective Bayesian Optimization Under Input Noise
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Wed Jul 20 12:35 PM -- 12:40 PM (PDT)
Detecting Corrupted Labels Without Training a Model to Predict
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Wed Jul 20 12:35 PM -- 12:40 PM (PDT)
A Natural Actor-Critic Framework for Zero-Sum Markov Games
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Wed Jul 20 12:35 PM -- 12:40 PM (PDT)
Symmetric Machine Theory of Mind
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Wed Jul 20 12:35 PM -- 12:40 PM (PDT)
Towards Adaptive Model-Based Reinforcement Learning
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Wed Jul 20 12:35 PM -- 12:40 PM (PDT)
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
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Wed Jul 20 12:40 PM -- 12:45 PM (PDT)
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
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Wed Jul 20 12:40 PM -- 12:45 PM (PDT)
Distributionally Robust $Q$-Learning
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Wed Jul 20 12:40 PM -- 12:45 PM (PDT)
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
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Wed Jul 20 12:40 PM -- 12:45 PM (PDT)
Prototype-anchored Learning for Learning with Imperfect Annotations
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Wed Jul 20 12:40 PM -- 12:45 PM (PDT)
UNITE: Uncertainty Adjusted Pruning for Large Transformer Models
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Wed Jul 20 12:40 PM -- 12:45 PM (PDT)
An initial alignment between neural network and target is needed for gradient descent to learn
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Wed Jul 20 12:45 PM -- 12:50 PM (PDT)
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
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Wed Jul 20 12:45 PM -- 12:50 PM (PDT)
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
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Wed Jul 20 12:45 PM -- 12:50 PM (PDT)
Improving and Assessing Anomaly Detectors for Large-Scale Settings
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Wed Jul 20 12:45 PM -- 12:50 PM (PDT)
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
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Wed Jul 20 12:45 PM -- 12:50 PM (PDT)
Sparsity in Partially Controllable Linear Systems
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Wed Jul 20 12:45 PM -- 12:50 PM (PDT)
Private optimization in the interpolation regime: faster rates and hardness results
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Wed Jul 20 12:45 PM -- 12:50 PM (PDT)
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
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Wed Jul 20 12:45 PM -- 12:50 PM (PDT)
Inductive Biases and Variable Creation in Self-Attention Mechanisms
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Wed Jul 20 12:50 PM -- 12:55 PM (PDT)
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
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Wed Jul 20 12:50 PM -- 12:55 PM (PDT) @ Room 310
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm
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Wed Jul 20 12:50 PM -- 12:55 PM (PDT)
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
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Wed Jul 20 12:50 PM -- 12:55 PM (PDT)
The power of first-order smooth optimization for black-box non-smooth problems
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Wed Jul 20 12:50 PM -- 12:55 PM (PDT)
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
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Wed Jul 20 12:50 PM -- 12:55 PM (PDT)
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
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Wed Jul 20 12:50 PM -- 12:55 PM (PDT)
SAUTE RL: Toward Almost Surely Safe Reinforcement Learning Using State Augmentation
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Wed Jul 20 12:50 PM -- 12:55 PM (PDT)
Reconstructing nonlinear dynamical systems from multi-modal time series
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Wed Jul 20 12:50 PM -- 12:55 PM (PDT) @ Ballroom 3 & 4
Topology-aware Generalization of Decentralized SGD
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Wed Jul 20 12:55 PM -- 01:00 PM (PDT)
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
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Wed Jul 20 12:55 PM -- 01:00 PM (PDT) @ Ballroom 1 & 2
SPECTRE : Spectral Conditioning Overcomes the Expressivity Limits of One-shot Graph Generators
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Wed Jul 20 12:55 PM -- 01:00 PM (PDT) @ Room 301 - 303
Towards Understanding Sharpness-Aware Minimization
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Wed Jul 20 12:55 PM -- 01:00 PM (PDT) @ Room 307
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making
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Wed Jul 20 12:55 PM -- 01:00 PM (PDT) @ Hall F
Neural language models are not born equal to fit brain data, but training helps
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Wed Jul 20 12:55 PM -- 01:00 PM (PDT) @ Ballroom 3 & 4
Understanding Gradient Descent on the Edge of Stability in Deep Learning
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
Estimating Instance-dependent Label-noise Transition Matrix using a Deep Neural Network
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
Continuous Control with Action Quantization from Demonstrations
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
Structure preserving neural networks: A case study in the entropy closure of the Boltzmann equation
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
A psychological theory of explainability
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
Does the Data Induce Capacity Control in Deep Learning?
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
Equivariance versus Augmentation for Spherical Images
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
Adapting k-means Algorithms for Outliers
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
A Neural Tangent Kernel Perspective of GANs
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Thu Jul 21 07:30 AM -- 07:35 AM (PDT)
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
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Thu Jul 21 07:35 AM -- 07:40 AM (PDT)
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
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Thu Jul 21 07:35 AM -- 07:40 AM (PDT)
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
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Thu Jul 21 07:35 AM -- 07:40 AM (PDT)
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization
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Thu Jul 21 07:35 AM -- 07:40 AM (PDT)
Composing Partial Differential Equations with Physics-Aware Neural Networks
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Thu Jul 21 07:35 AM -- 07:40 AM (PDT)
Task-aware Privacy Preservation for Multi-dimensional Data
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Thu Jul 21 07:35 AM -- 07:40 AM (PDT)
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
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Thu Jul 21 07:35 AM -- 07:40 AM (PDT)
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
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Thu Jul 21 07:35 AM -- 07:40 AM (PDT)
Breaking Down Out-of-Distribution Detection: Many Popular Methods Estimate a Combination of the Same Core Quantities
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Thu Jul 21 07:40 AM -- 07:45 AM (PDT)
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
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Thu Jul 21 07:40 AM -- 07:45 AM (PDT)
Neural Inverse Transform Sampler
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Thu Jul 21 07:40 AM -- 07:45 AM (PDT)
Shuffle Private Linear Contextual Bandits
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Thu Jul 21 07:40 AM -- 07:45 AM (PDT)
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
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Thu Jul 21 07:40 AM -- 07:45 AM (PDT)
Online Algorithms with Multiple Predictions
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Thu Jul 21 07:40 AM -- 07:45 AM (PDT)
Memory-Based Model Editing at Scale
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Thu Jul 21 07:45 AM -- 07:50 AM (PDT)
Parsimonious Learning-Augmented Caching
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Thu Jul 21 07:45 AM -- 07:50 AM (PDT)
Towards Coherent and Consistent Use of Entities in Narrative Generation
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Thu Jul 21 07:45 AM -- 07:50 AM (PDT)
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
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Thu Jul 21 07:45 AM -- 07:50 AM (PDT)
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
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Thu Jul 21 07:45 AM -- 07:50 AM (PDT)
Linearity Grafting: How Neuron Pruning Helps Certifiable Robustness
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Thu Jul 21 07:45 AM -- 07:50 AM (PDT)
Antibody-Antigen Interface Design via Hierarchical Structure Refinement
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Thu Jul 21 07:50 AM -- 07:55 AM (PDT)
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
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Thu Jul 21 07:50 AM -- 07:55 AM (PDT)
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
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Thu Jul 21 07:50 AM -- 07:55 AM (PDT)
RUMs from Head-to-Head Contests
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Thu Jul 21 07:50 AM -- 07:55 AM (PDT)
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
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Thu Jul 21 07:50 AM -- 07:55 AM (PDT)
Diffusion Models for Adversarial Purification
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Thu Jul 21 07:50 AM -- 07:55 AM (PDT)
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
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Thu Jul 21 07:55 AM -- 08:00 AM (PDT)
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
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Thu Jul 21 07:55 AM -- 08:00 AM (PDT)
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
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Thu Jul 21 07:55 AM -- 08:00 AM (PDT)
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
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Thu Jul 21 07:55 AM -- 08:00 AM (PDT)
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
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Thu Jul 21 07:55 AM -- 08:00 AM (PDT)
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
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Thu Jul 21 07:55 AM -- 08:00 AM (PDT)
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
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Thu Jul 21 08:00 AM -- 08:05 AM (PDT)
Fourier Learning with Cyclical Data
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Thu Jul 21 08:00 AM -- 08:05 AM (PDT)
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks
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Thu Jul 21 08:00 AM -- 08:05 AM (PDT)
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
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Thu Jul 21 08:00 AM -- 08:05 AM (PDT)
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
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Thu Jul 21 08:00 AM -- 08:05 AM (PDT)
Learning to Infer Structures of Network Games
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Thu Jul 21 08:00 AM -- 08:05 AM (PDT)
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach
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Thu Jul 21 08:05 AM -- 08:10 AM (PDT)
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning
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Thu Jul 21 08:05 AM -- 08:10 AM (PDT)
Towards Optimal Exploration in Linear Markov Decision Processes: Covering and Dimension-Optimal PAC
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Thu Jul 21 08:05 AM -- 08:10 AM (PDT)
GACT: Activation Compressed Training for Generic Network Architectures
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Thu Jul 21 08:05 AM -- 08:10 AM (PDT)
Difference Advantage Estimation for Multi-Agent Policy Gradients
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Thu Jul 21 08:05 AM -- 08:10 AM (PDT)
Information Discrepancy in Strategic Learning
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Thu Jul 21 08:05 AM -- 08:10 AM (PDT)
Neuro-Symbolic Hierarchical Rule Induction
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Thu Jul 21 08:10 AM -- 08:15 AM (PDT)
Fast Finite Width Neural Tangent Kernel
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Thu Jul 21 08:10 AM -- 08:15 AM (PDT)
Towards Uniformly Superhuman Autonomy via Subdominance Minimization
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Thu Jul 21 08:10 AM -- 08:15 AM (PDT)
Unsupervised Image Representation Learning with Deep Latent Particles
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Thu Jul 21 08:10 AM -- 08:15 AM (PDT)
COLA: Consistent Learning with Opponent-Learning Awareness
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Thu Jul 21 08:10 AM -- 08:15 AM (PDT)
Entropic Gromov-Wasserstein between Gaussian Distributions
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Thu Jul 21 08:15 AM -- 08:20 AM (PDT)
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
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Thu Jul 21 08:15 AM -- 08:20 AM (PDT)
Neural Network Poisson Models for Behavioural and Neural Spike Train Data
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Thu Jul 21 08:15 AM -- 08:20 AM (PDT)
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation
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Thu Jul 21 08:15 AM -- 08:20 AM (PDT)
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
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Thu Jul 21 08:15 AM -- 08:20 AM (PDT)
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
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Thu Jul 21 08:15 AM -- 08:20 AM (PDT)
No-Regret Learning in Partially-Informed Auctions
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Thu Jul 21 08:20 AM -- 08:25 AM (PDT)
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
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Thu Jul 21 08:20 AM -- 08:25 AM (PDT)
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
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Thu Jul 21 08:20 AM -- 08:25 AM (PDT)
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
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Thu Jul 21 08:20 AM -- 08:25 AM (PDT)
Interactive Inverse Reinforcement Learning for Cooperative Games
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Thu Jul 21 08:20 AM -- 08:25 AM (PDT)
Information-Intensive Dataset Condensation
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Thu Jul 21 08:20 AM -- 08:25 AM (PDT)
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
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Thu Jul 21 08:20 AM -- 08:25 AM (PDT)
On Last-Iterate Convergence Beyond Zero-Sum Games
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Thu Jul 21 08:25 AM -- 08:30 AM (PDT)
Linear Adversarial Concept Erasure
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Thu Jul 21 08:25 AM -- 08:30 AM (PDT)
Searching for BurgerFormer with Micro-Meso-Macro Space Design
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Thu Jul 21 08:25 AM -- 08:30 AM (PDT)
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
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Thu Jul 21 08:25 AM -- 08:30 AM (PDT)
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
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Thu Jul 21 08:25 AM -- 08:30 AM (PDT)
Functional Output Regression with Infimal Convolution: Exploring the Huber and $\epsilon$-insensitive Losses
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Thu Jul 21 08:25 AM -- 08:30 AM (PDT)
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
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Thu Jul 21 08:25 AM -- 08:30 AM (PDT)
Learning Stochastic Shortest Path with Linear Function Approximation
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Thu Jul 21 08:25 AM -- 08:30 AM (PDT)
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
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Thu Jul 21 08:30 AM -- 08:35 AM (PDT)
Unaligned Supervision for Automatic Music Transcription in The Wild
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Thu Jul 21 08:30 AM -- 08:35 AM (PDT)
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
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Thu Jul 21 08:30 AM -- 08:35 AM (PDT)
Multi-scale Feature Learning Dynamics: Insights for Double Descent
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Thu Jul 21 08:30 AM -- 08:35 AM (PDT)
Measuring dissimilarity with diffeomorphism invariance
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Thu Jul 21 08:30 AM -- 08:35 AM (PDT)
Robust Imitation Learning against Variations in Environment Dynamics
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Thu Jul 21 08:30 AM -- 08:35 AM (PDT)
Solving Catastrophic Forgetting via Weight Interval Constraints
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Thu Jul 21 08:30 AM -- 08:35 AM (PDT)
Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games
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Thu Jul 21 08:35 AM -- 08:40 AM (PDT)
A Simple Unified Framework for High Dimensional Bandit Problems
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Thu Jul 21 08:35 AM -- 08:40 AM (PDT)
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
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Thu Jul 21 08:35 AM -- 08:40 AM (PDT)
Faster Fundamental Graph Algorithms via Learned Predictions
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Thu Jul 21 08:35 AM -- 08:40 AM (PDT)
Importance Weighted Kernel Bayes' Rule
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Thu Jul 21 08:35 AM -- 08:40 AM (PDT)
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
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Thu Jul 21 08:35 AM -- 08:40 AM (PDT)
Dataset Condensation with Contrastive Signals
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Thu Jul 21 08:35 AM -- 08:40 AM (PDT)
Nested Exponential Weights and the Red Bus / Blue Bus Paradox
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT)
Input Dependent Sparse Gaussian Processes
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT)
A Reduction from contextual bandits to estimations
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT)
General-purpose, long-context autoregressive modeling with Perceiver AR
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT)
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Ballroom 1 & 2
Equivariant Priors for compressed sensing with unknown orientation
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT)
Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT)
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT)
Branching Reinforcement Learning
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT)
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT)
Marginal Tail-Adaptive Normalizing Flows
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT)
Fair and Fast k-Center Clustering for Data Summarization
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Ballroom 1 & 2
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT)
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT)
An Intriguing Property of Geophysics Inversion
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT)
Fast rates for noisy interpolation require rethinking the effect of inductive bias
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT)
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 301 - 303
SkexGen: Generating CAD Construction Sequences by Autoregressive VAE with Disentangled Codebooks
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT)
Distribution Regression with Sliced Wasserstein Kernels
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Ballroom 1 & 2
Prioritized training on points that are learnable, worth learning, and not yet learned
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT)
Online and Consistent Correlation Clustering
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT)
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT)
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT)
Particle Transformer for Jet Tagging
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 301 - 303
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT)
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT)
Generalized Leverage Scores: Geometric Interpretation and Applications
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT)
Selling Data To a Machine Learner: Pricing via Costly Signaling
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT)
SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT)
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT)
Ripple Attention for Visual Perception with Sub-quadratic Complexity
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT)
Adversarial Masking for Self-Supervised Learning
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT)
Instance Dependent Regret Analysis of Kernelized Bandits
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT)
Learning Stable Classifiers by Transferring Unstable Features
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT)
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT)
Dynamic Topic Models for Temporal Document Networks
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT)
Self-supervised Models are Good Teaching Assistants for Vision Transformers
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT)
A Functional Information Perspective on Model Interpretation
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT)
Scalable Computation of Causal Bounds
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT)
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT)
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT)
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT)
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT)
Be Like Water: Adaptive Floating Point for Machine Learning
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT)
A Simple Reward-free Approach to Constrained Reinforcement Learning
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT)
Attentional meta-learners for few-shot polythetic classification
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT)
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT)
Adaptive Second Order Coresets for Data-efficient Machine Learning
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT)
C*-algebra net: a new approach generalizing neural network parameters to C*-algebra
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT)
In defense of dual-encoders for neural ranking
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT)
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT)
Domain Adaptation for Time Series Forecasting via Attention Sharing
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT)
Hardness and Algorithms for Robust and Sparse Optimization
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT)
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT)
Nonlinear Feature Diffusion on Hypergraphs
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT)
Divergence-Regularized Multi-Agent Actor-Critic
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT)
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT)
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT)
Linear Complexity Randomized Self-attention Mechanism
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT)
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT)
PAC-Bayes Bounds for Meta-Learning
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT)
Disentangling Disease-related Representation from Obscure for Disease Prediction
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT)
Offline Meta-Reinforcement Learning with Online Self-Supervision
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT)
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT)
Multirate Training of Neural Networks
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT)
Efficient Representation Learning via Adaptive Context Pooling
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT)
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT)
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT)
Off-Policy Reinforcement Learning with Delayed Rewards
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT)
Temporal Difference Learning for Model Predictive Control
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT)
Variational Wasserstein gradient flow
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT)
The Complexity of k-Means Clustering when Little is Known
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT)
Multi Resolution Analysis (MRA) for Approximate Self-Attention
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT)
HyperPrompt: Prompt-based Task-Conditioning of Transformers
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT)
Direct Behavior Specification via Constrained Reinforcement Learning
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT)
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT)
Order Constraints in Optimal Transport
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT)
Building Robust Ensembles via Margin Boosting
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT)
Learning to Assemble with Large-Scale Structured Reinforcement Learning
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT)
Model Selection in Batch Policy Optimization
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT)
Validating Causal Inference Methods
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT)
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
Spotlight
Thu Jul 21 11:15 AM -- 11:20 AM (PDT)
Investigating Generalization by Controlling Normalized Margin
Spotlight
Thu Jul 21 11:15 AM -- 11:20 AM (PDT)
Fast Provably Robust Decision Trees and Boosting
Spotlight
Thu Jul 21 11:15 AM -- 11:20 AM (PDT)
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
Spotlight
Thu Jul 21 11:15 AM -- 11:20 AM (PDT)
Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration
Spotlight
Thu Jul 21 11:15 AM -- 11:20 AM (PDT)
Evolving Curricula with Regret-Based Environment Design
Spotlight
Thu Jul 21 11:15 AM -- 11:20 AM (PDT)
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
Spotlight
Thu Jul 21 11:15 AM -- 11:20 AM (PDT)
Flowformer: Linearizing Transformers with Conservation Flows
Spotlight
Thu Jul 21 11:20 AM -- 11:25 AM (PDT)
A Context-Integrated Transformer-Based Neural Network for Auction Design
Spotlight
Thu Jul 21 11:20 AM -- 11:25 AM (PDT)
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Spotlight
Thu Jul 21 11:20 AM -- 11:25 AM (PDT)
PAC-Bayesian Bounds on Rate-Efficient Classifiers
Spotlight
Thu Jul 21 11:20 AM -- 11:25 AM (PDT)
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training
Spotlight
Thu Jul 21 11:20 AM -- 11:25 AM (PDT)
Visual Attention Emerges from Recurrent Sparse Reconstruction
Spotlight
Thu Jul 21 11:20 AM -- 11:25 AM (PDT)
Scalable Deep Gaussian Markov Random Fields for General Graphs
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT)
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT)
Efficient low rank convex bounds for pairwise discrete Graphical Model
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT)
Adaptive Conformal Predictions for Time Series
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT)
Unifying Modalities, Tasks, and Architectures Through a Simple Sequence-to-Sequence Learning Framework
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT)
More Efficient Sampling for Tensor Decomposition with Worst-Case Guarantees
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT)
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT)
Transformer Quality in Linear Time
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT)
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 318 - 320
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT)
Nonparametric Embeddings of Sparse High-Order Interaction Events
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT)
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Ballroom 1 & 2
Position Prediction as an Effective Pretraining Strategy
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT)
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT)
Transformers are Meta-Reinforcement Learners
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT)
What Dense Graph Do You Need for Self-Attention?
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT)
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT)
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT)
NOMU: Neural Optimization-based Model Uncertainty
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT)
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT)
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT)
Rethinking Graph Neural Networks for Anomaly Detection
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT)
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT)
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT)
Accelerating Shapley Explanation via Contributive Cooperator Selection
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT)
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT)
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT)
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT)
SPDY: Accurate Pruning with Speedup Guarantees
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT)
Neurocoder: General-Purpose Computation Using Stored Neural Programs
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT)
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT)
Tell me why! Explanations support learning relational and causal structure
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT)
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT)
Flashlight: Enabling Innovation in Tools for Machine Learning
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT)
Proving Theorems using Incremental Learning and Hindsight Experience Replay
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT)
Improving Transformers with Probabilistic Attention Keys
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT)
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT)
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT)
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Hall G
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT)
On the Robustness of CountSketch to Adaptive Inputs
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT)
Sample Efficient Learning of Predictors that Complement Humans
Spotlight
Thu Jul 21 11:50 AM -- 11:55 AM (PDT)
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Room 301 - 303
On the Role of Discount Factor in Offline Reinforcement Learning
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Hall G
Neural Inverse Kinematic
Spotlight
Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Hall F
AGNAS: Attention-Guided Unifying Micro- and Macro-Architecture Search
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT)
Nearly Optimal Catoni’s M-estimator for Infinite Variance
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT)
Revisiting End-to-End Speech-to-Text Translation From Scratch
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT)
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT)
Least Squares Estimation using Sketched Data with Heteroskedastic Errors
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT)
Convergence of Invariant Graph Networks
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT)
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
Spotlight
Thu Jul 21 12:30 PM -- 12:35 PM (PDT)
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT)
Quantifying and Learning Linear Symmetry-Based Disentanglement
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT)
Federated Learning with Label Distribution Skew via Logits Calibration
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT)
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT)
Rich Feature Construction for the Optimization-Generalization Dilemma
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT)
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT)
Data Scaling Laws in NMT: The Effect of Noise and Architecture
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT)
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT)
Generalized Federated Learning via Sharpness Aware Minimization
Spotlight
Thu Jul 21 12:35 PM -- 12:40 PM (PDT)
A Regret Minimization Approach to Multi-Agent Control
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT)
Delay-adaptive step-sizes for asynchronous learning
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT)
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT)
Dialog Inpainting: Inferring two-speaker QA dialogs from single-author documents at web scale
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT)
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT)
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT)
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT)
Adaptive Random Walk Gradient Descent for Decentralized Optimization
Spotlight
Thu Jul 21 12:40 PM -- 12:45 PM (PDT)
Multi-slots Online Matching with High Entropy
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Room 307
Predict and Optimize: Through the Lens of Learning to Rank
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT)
Contextual Information-Directed Sampling
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT)
Safe Exploration for Efficient Policy Evaluation and Comparison
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT)
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT)
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT)
Active Nearest Neighbor Regression Through Delaunay Refinement
Spotlight
Thu Jul 21 12:45 PM -- 12:50 PM (PDT)
FLPerf: A Comprehensive Benchmark for Federated Learning at Scale
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT)
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT)
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT)
Learning Augmented Binary Search Trees
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT)
Augment with Care: Contrastive Learning for Combinatorial Problems
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT)
Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT)
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT)
Adversarial Attacks on Gaussian Process Bandits
Spotlight
Thu Jul 21 12:50 PM -- 12:55 PM (PDT)
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT)
Object Permanence Emerges in a Random Walk along Memory
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT)
Cycle Representation Learning for Inductive Relation Prediction
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT)
Universal and data-adaptive algorithms for model selection in linear contextual bandits
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT)
Convergence Results for Predictive Coding Networks
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT)
GALAXY: Graph-based Active Learning at the Extreme
Spotlight
Thu Jul 21 12:55 PM -- 01:00 PM (PDT)
Communication-efficient Distributed Learning for Large Batch Optimization
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT)
Flow-Guided Sparse Transformer for Video Deblurring
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT)
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT)
When Are Linear Stochastic Bandits Attackable?
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT)
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT)
Regret Minimization with Performative Feedback
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT)
Representation Topology Divergence: A Method for Comparing Neural Network Representations.
Spotlight
Thu Jul 21 01:00 PM -- 01:05 PM (PDT)
A Simple Guard for Learned Optimizers
Spotlight
Thu Jul 21 01:05 PM -- 01:10 PM (PDT)
Secure Distributed Training at Scale
Spotlight
Thu Jul 21 01:05 PM -- 01:10 PM (PDT)
Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
Spotlight
Thu Jul 21 01:05 PM -- 01:10 PM (PDT)
Accelerated Federated Learning with Decoupled Adaptive Optimization
Spotlight
Thu Jul 21 01:05 PM -- 01:10 PM (PDT)
On the Surrogate Gap between Contrastive and Supervised Losses
Spotlight
Thu Jul 21 01:05 PM -- 01:10 PM (PDT)
Decentralized Online Convex Optimization in Networked Systems
Spotlight
Thu Jul 21 01:10 PM -- 01:15 PM (PDT)
ASAP-SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
Spotlight
Thu Jul 21 01:10 PM -- 01:15 PM (PDT)
Staged Training for Transformer Language Models
Spotlight
Thu Jul 21 01:10 PM -- 01:15 PM (PDT)
MetAug: Contrastive Learning via Meta Feature Augmentation
Spotlight
Thu Jul 21 01:10 PM -- 01:15 PM (PDT)
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
Spotlight
Thu Jul 21 01:15 PM -- 01:20 PM (PDT)
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
Spotlight
Thu Jul 21 01:15 PM -- 01:20 PM (PDT)
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Spotlight
Thu Jul 21 01:15 PM -- 01:20 PM (PDT)
Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
Spotlight
Thu Jul 21 01:15 PM -- 01:20 PM (PDT)
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
Spotlight
Thu Jul 21 01:15 PM -- 01:20 PM (PDT)
Guaranteed Robust Deep Learning against Extreme Label Noise using Self-supervised Learning
Spotlight
Thu Jul 21 01:15 PM -- 01:20 PM (PDT)
MonePipe: Accelerating Momentum Network Training with Pipelines
Spotlight
Thu Jul 21 01:20 PM -- 01:25 PM (PDT)
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
Spotlight
Thu Jul 21 01:20 PM -- 01:25 PM (PDT)
Self-supervised learning with random-projection quantizer for speech recognition
Spotlight
Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ Room 327 - 329
Virtual Homogeneity Learning
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Thu Jul 21 01:20 PM -- 01:25 PM (PDT)
Asymptotically-Optimal Gaussian Bandits with Side Observations
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Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ Room 310
Personalized Federated Learning through Local Memorization
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Thu Jul 21 01:20 PM -- 01:25 PM (PDT)
Contrastive Learning with Boosted Memorization
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT)
Off-Policy Evaluation for Large Action Spaces via Embeddings
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Ballroom 1 & 2
Fast Population-Based Reinforcement Learning on a Single Machine
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT)
Learning Multiscale Transformer Models for Sequence Generation
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT)
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT)
Making Linear MDPs Practical via Contrastive Representation Learning
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Room 310
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT)
Consistent Polyhedral Surrogates for Top-k Classification and Variants
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT)
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT)
Imitation Learning by Estimating Expertise of Demonstrators
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT)
Flow-based Recurrent Belief State Learning for POMDPs
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Ballroom 1 & 2
NeuralEF: Deconstructing Kernels by Deep Neural Networks
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT)
NP-Match: When Neural Processes meet Semi-Supervised Learning
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT)
Algorithms and Lower Bo