Learning Theory

Understanding and Improving Ensemble Adversarial Defense NeurIPS 2023 Understanding Backdoor Attacks through the Adaptability Hypothesis ICML 2023 Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes NeurIPS 2023 Understanding Hessian Alignment for Domain Generalization ICCV 2023 Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023 Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective IJCAI 2023 Understanding the Generalization Performance of Spectral Clustering Algorithms AAAI 2023 Understanding the Role of Feedback in Online Learning with Switching Costs ICML 2023 Understanding Train-Validation Split in Meta-Learning with Neural Networks ICLR 2023 Understanding Why Generalized Reweighting Does Not Improve Over ERM ICLR 2023 Uniform Convergence with Square-Root Lipschitz Loss NeurIPS 2023 Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent NeurIPS 2023 Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension UAI 2023 Universal Rates for Multiclass Learning COLT 2023 Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features ICML 2023 Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance EMNLP 2023 Validated Image Caption Rating Dataset NeurIPS 2023 Variance-Aware Sparse Linear Bandits ICLR 2023 Vector Optimization with Stochastic Bandit Feedback AISTATS 2023 VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation COLT 2023 Weak Recovery Threshold for the Hypergraph Stochastic Block Model COLT 2023 What can a Single Attention Layer Learn? A Study Through the Random Features Lens NeurIPS 2023 What Can Be Learnt With Wide Convolutional Neural Networks? ICML 2023 What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023