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Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Reducing Sampling Error in Batch Temporal Difference Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
T-GD: Transferable GAN-generated Images Detection Framework
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
On Breaking Deep Generative Model-based Defenses and Beyond
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Universal Asymptotic Optimality of Polyak Momentum
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Optimal Tree Models under Beam Search
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Performative Prediction
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Do RNN and LSTM have Long Memory?
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Provably Efficient Model-based Policy Adaptation
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Tails of Lipschitz Triangular Flows
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Distribution Augmentation for Generative Modeling
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Model-Based Reinforcement Learning with Value-Targeted Regression
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Optimizing Data Usage via Differentiable Rewards
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
An Imitation Learning Approach for Cache Replacement
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Generalization and Representational Limits of Graph Neural Networks
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Human Objectives by Evaluating Hypothetical Behavior
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
SGD Learns One-Layer Networks in WGANs
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
The Performance Analysis of Generalized Margin Maximizers on Separable Data
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Visual Grounding of Learned Physical Models
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
High-dimensional Robust Mean Estimation via Gradient Descent
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Cost-Effective Interactive Attention Learning with Neural Attention Processes
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Domain Aggregation Networks for Multi-Source Domain Adaptation
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Emergence of Separable Manifolds in Deep Language Representations
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Coresets for Data-efficient Training of Machine Learning Models
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Generalized and Scalable Optimal Sparse Decision Trees
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Momentum-Based Policy Gradient Methods
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Minimax Pareto Fairness: A Multi Objective Perspective
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Mixtures of Graphs from Epidemic Cascades
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Certified Data Removal from Machine Learning Models
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
One-shot Distributed Ridge Regression in High Dimensions
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Gradient Temporal-Difference Learning with Regularized Corrections
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Defense Through Diverse Directions
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Sparse Sinkhorn Attention
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Progressive Identification of True Labels for Partial-Label Learning
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