Theory

Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions RSS 2023 Rogue Scores ACL 2023 ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning ICLR 2023 Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise IJCAI 2023 SAM operates far from home: eigenvalue regularization as a dynamical phenomenon ICML 2023 Sample based Explanations via Generalized Representers NeurIPS 2023 Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning NeurIPS 2023 Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds NeurIPS 2023 Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023 Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions ICLR 2023 Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP 2023 Scaling MLPs: A Tale of Inductive Bias NeurIPS 2023 Schelling Games with Continuous Types IJCAI 2023 Second-order regression models exhibit progressive sharpening to the edge of stability ICML 2023 Selective inference for k-means clustering JMLR 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 Sensing Theorems for Unsupervised Learning in Linear Inverse Problems JMLR 2023 Sequence Learning Using Equilibrium Propagation IJCAI 2023 Sequence Modeling with Multiresolution Convolutional Memory ICML 2023 Sequential Changepoint Detection via Backward Confidence Sequences ICML 2023 Settling the Reward Hypothesis ICML 2023 (S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability NeurIPS 2023 SHAP-IQ: Unified Approximation of any-order Shapley Interactions NeurIPS 2023 Sharp analysis of EM for learning mixtures of pairwise differences COLT 2023 Sharper Bounds for ℓ_p Sensitivity Sampling ICML 2023