Theory

Explaining Preferences with Shapley Values NeurIPS 2022 Exploiting Independent Instruments: Identification and Distribution Generalization ICML 2022 Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis AISTATS 2022 Exploring Mode Connectivity for Pre-trained Language Models EMNLP 2022 Exploring The Landscape of Distributional Robustness for Question Answering Models EMNLP 2022 Exploring the Whole Rashomon Set of Sparse Decision Trees NeurIPS 2022 Exponential Separations in Symmetric Neural Networks NeurIPS 2022 Expressiveness and Approximation Properties of Graph Neural Networks ICLR 2022 Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability ICLR 2022 Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem AISTATS 2022 Expressivity of Planning with Horn Description Logic Ontologies AAAI 2022 Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study NeurIPS 2022 Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data ICML 2022 Fairness Transferability Subject to Bounded Distribution Shift NeurIPS 2022 Fast Neural Kernel Embeddings for General Activations NeurIPS 2022 Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning ICML 2022 Feature Importance Explanations for Temporal Black-Box Models AAAI 2022 Feature Learning in L_2-regularized DNNs: Attraction/Repulsion and Sparsity NeurIPS 2022 Feature screening with kernel knockoffs AISTATS 2022 Few-Shot Backdoor Defense Using Shapley Estimation CVPR 2022 Finding Nearly Everything within Random Binary Networks AISTATS 2022 Finite-horizon equilibria for neuro-symbolic concurrent stochastic games UAI 2022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NeurIPS 2022 First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022