{"total":14,"rows":[{"id":"2109.13055","title":"Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling","created":"2021-09-27","cited_by_count":44,"area":null},{"id":"2204.07196","title":"Testing distributional assumptions of learning algorithms","created":"2022-04-14","cited_by_count":30,"area":null},{"id":"2108.08767","title":"Learning General Halfspaces with General Massart Noise under the Gaussian Distribution","created":"2021-08-19","cited_by_count":27,"area":null},{"id":"2303.03237","title":"Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation","created":"2023-03-06","cited_by_count":10,"area":null},{"id":"2207.04387","title":"Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes","created":"2022-07-10","cited_by_count":7,"area":null},{"id":"2303.04622","title":"ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression","created":"2023-03-08","cited_by_count":4,"area":null},{"id":"2305.15988","title":"Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms","created":"2023-05-25","cited_by_count":4,"area":null},{"id":"2501.09189","title":"Testing Noise Assumptions of Learning Algorithms","created":"2025-01-15","cited_by_count":4,"area":null},{"id":"2511.17782","title":"Smoothed Agnostic Learning of Halfspaces over the Hypercube","created":"2025-11-21","cited_by_count":3,"area":null},{"id":"2305.13882","title":"Subsampling Error in Stochastic Gradient Langevin Diffusions","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2511.07244","title":"A Fully Polynomial-Time Algorithm for Robustly Learning Halfspaces over the Hypercube","created":"2025-11-10","cited_by_count":1,"area":null},{"id":"2302.11971","title":"Efficiently handling constraints with Metropolis-adjusted Langevin algorithm","created":"2023-02-23","cited_by_count":0,"area":null},{"id":"2306.05583","title":"Gibbs-Based Information Criteria and the Over-Parameterized Regime","created":"2023-06-08","cited_by_count":0,"area":null},{"id":"2606.03033","title":"Local and Global Contraction Principles for MCMC Mixing","created":"2026-06-02","cited_by_count":0,"area":null}],"next_cursor":null}