Theory

Fixed-Distance Hamiltonian Monte Carlo NeurIPS 2022 Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022 Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback NeurIPS 2022 Foolish Crowds Support Benign Overfitting JMLR 2022 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem NeurIPS 2022 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NeurIPS 2022 Function Classes for Identifiable Nonlinear Independent Component Analysis NeurIPS 2022 Gaussian Process Bandit Optimization with Few Batches AISTATS 2022 Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression JMLR 2022 GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING ICLR 2022 Generalization Bounds for Gradient Methods via Discrete and Continuous Prior NeurIPS 2022 Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022 Generalization Bounds via Convex Analysis COLT 2022 Generalization Through the Lens of Leave-One-Out Error ICLR 2022 Generalized Ambiguity Decomposition for Ranking Ensemble Learning JMLR 2022 Generalized Group Testing AISTATS 2022 Generalized Leverage Scores: Geometric Interpretation and Applications ICML 2022 Generic bounds on the approximation error for physics-informed (and) operator learning NeurIPS 2022 Going Deeper into Permutation-Sensitive Graph Neural Networks ICML 2022 GoTube: Scalable Statistical Verification of Continuous-Depth Models AAAI 2022 Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NeurIPS 2022 Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs NeurIPS 2022 GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer ACL 2022 Graph-based Nearest Neighbor Search in Hyperbolic Spaces ICLR 2022 Graph-Coupled Oscillator Networks ICML 2022