Theory

A General Theory of Correct, Incorrect, and Extrinsic Equivariance NeurIPS 2023 Agent-based Graph Neural Networks ICLR 2023 A graphon-signal analysis of graph neural networks NeurIPS 2023 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning NeurIPS 2023 A Kernel-Based View of Language Model Fine-Tuning ICML 2023 A Kernel Perspective of Skip Connections in Convolutional Networks ICLR 2023 A Law of Robustness beyond Isoperimetry ICML 2023 Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing NeurIPS 2023 Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023 Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares ALT 2023 (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy NeurIPS 2023 A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023 Alternating Differentiation for Optimization Layers ICLR 2023 AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis NeurIPS 2023 A Measure-Theoretic Characterization of Tight Language Models ACL 2023 An Algorithm and Complexity Results for Causal Unit Selection CLeaR 2023 Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities Interspeech 2023 Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels ICML 2023 Analyzing Diffusion as Serial Reproduction ICML 2023 Analyzing Generalization of Neural Networks through Loss Path Kernels NeurIPS 2023 Analyzing Multi-Sentence Aggregation in Abstractive Summarization via the Shapley Value EMNLP 2023 Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel ICLR 2023 An Analysis of Goodness of Pronunciation for Child Speech Interspeech 2023 An Attribution Method for Siamese Encoders EMNLP 2023 A Nearly Tight Bound for Fitting an Ellipsoid to Gaussian Random Points COLT 2023