Theory

Reinforcement Learning with Logarithmic Regret and Policy Switches NeurIPS 2022 Reinforcement Learning with Non-Exponential Discounting NeurIPS 2022 Relaxing Equivariance Constraints with Non-stationary Continuous Filters NeurIPS 2022 Representation Matters: Characterisation and Impossibility Results for Interval Aggregation IJCAI 2022 Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022 Reproducibility in Optimization: Theoretical Framework and Limits NeurIPS 2022 Reproducibility Issues for BERT-based Evaluation Metrics EMNLP 2022 Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach AAAI 2022 Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime AAAI 2022 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective NeurIPS 2022 Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022 Reverse Engineering the Neural Tangent Kernel ICML 2022 Revision by Comparison for Ranking Functions IJCAI 2022 Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE? ACL 2022 Reward-Weighted Regression Converges to a Global Optimum AAAI 2022 Ridgeless Regression with Random Features IJCAI 2022 RKHS-SHAP: Shapley Values for Kernel Methods NeurIPS 2022 Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach L4DC 2022 Robustness Certification of Visual Perception Models via Camera Motion Smoothing CoRL 2022 Robustness Implies Generalization via Data-Dependent Generalization Bounds ICML 2022 Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) NeurIPS 2022 Robustness of model predictions under extension UAI 2022 Robustness to Label Noise Depends on the Shape of the Noise Distribution NeurIPS 2022 Robust Sparse Mean Estimation via Sum of Squares COLT 2022 Robust Testing in High-Dimensional Sparse Models NeurIPS 2022