Theory

A Better Way to Do Masked Language Model Scoring ACL 2023 Abide by the law and follow the flow: conservation laws for gradient flows NeurIPS 2023 A Case of Exponential Convergence Rates for SVM AISTATS 2023 A Category-theoretical Meta-analysis of Definitions of Disentanglement ICML 2023 Achieve the Minimum Width of Neural Networks for Universal Approximation ICLR 2023 Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints ICML 2023 A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests ICML 2023 A Comprehensive Evaluation of Biomedical Entity Linking Models EMNLP 2023 A Critical Evaluation of Evaluations for Long-form Question Answering ACL 2023 Actionable Neural Representations: Grid Cells from Minimal Constraints ICLR 2023 Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023 AdamsFormer for Spatial Action Localization in the Future CVPR 2023 Adaptive Linear Estimating Equations NeurIPS 2023 Adaptive Optimization in the ∞-Width Limit ICLR 2023 Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds NeurIPS 2023 Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces NeurIPS 2023 Adversarially Robust PAC Learnability of Real-Valued Functions ICML 2023 A Dynamical System View of Langevin-Based Non-Convex Sampling NeurIPS 2023 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023 A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel ICML 2023 A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NeurIPS 2023 A finite-sample analysis of multi-step temporal difference estimates L4DC 2023 A Finite Sample Complexity Bound for Distributionally Robust Q-learning AISTATS 2023 A Fractional Graph Laplacian Approach to Oversmoothing NeurIPS 2023 A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis ICLR 2023