Probability

Randomized geometric tools for anomaly detection in stock markets AISTATS 2023 Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023 Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023 Robust covariance estimation with missing values and cell-wise contamination NeurIPS 2023 Robust Mean Estimation Without Moments for Symmetric Distributions NeurIPS 2023 Sample Complexity of Probability Divergences under Group Symmetry ICML 2023 Sampling From a Schrödinger Bridge AISTATS 2023 Sampling with Mollified Interaction Energy Descent ICLR 2023 Self-Consistent Velocity Matching of Probability Flows NeurIPS 2023 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains ICML 2023 Semi-random Impossibilities of Condorcet Criterion AAAI 2023 Sharper Bounds for ℓ_p Sensitivity Sampling ICML 2023 Sharp Spectral Rates for Koopman Operator Learning NeurIPS 2023 Sharp thresholds in inference of planted subgraphs COLT 2023 Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023 Should you marginalize over possible tokenizations? ACL 2023 Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures NeurIPS 2023 Statistical Comparisons of Classifiers by Generalized Stochastic Dominance JMLR 2023 Statistical Efficiency of Score Matching: The View from Isoperimetry ICLR 2023 Stein Π-Importance Sampling NeurIPS 2023 Testing Tail Weight of a Distribution Via Hazard Rate ALT 2023 The k-Cap Process on Geometric Random Graphs COLT 2023 The Brier Score under Administrative Censoring: Problems and a Solution JMLR 2023 The d-Separation Criterion in Categorical Probability JMLR 2023 The Saddle-Point Method in Differential Privacy ICML 2023