{"total":20,"rows":[{"id":"2109.12077","title":"The Mirror Langevin Algorithm Converges with Vanishing Bias","created":"2021-09-24","cited_by_count":37,"area":null},{"id":"2303.03589","title":"Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincar\\'e Inequality","created":"2023-03-07","cited_by_count":31,"area":null},{"id":"2302.10081","title":"Improved dimension dependence of a proximal algorithm for sampling","created":"2023-02-20","cited_by_count":30,"area":null},{"id":"2204.10818","title":"Convergence of the Riemannian Langevin Algorithm","created":"2022-04-22","cited_by_count":25,"area":null},{"id":"2206.00860","title":"Self-Consistency of the Fokker-Planck Equation","created":"2022-06-02","cited_by_count":18,"area":null},{"id":"2112.05120","title":"On Convergence of Federated Averaging Langevin Dynamics","created":"2021-12-09","cited_by_count":14,"area":null},{"id":"2305.19473","title":"Chain of Log-Concave Markov Chains","created":"2023-05-31","cited_by_count":14,"area":null},{"id":"2312.08823","title":"Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm","created":"2023-12-14","cited_by_count":11,"area":null},{"id":"2207.02189","title":"Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time","created":"2022-07-05","cited_by_count":7,"area":null},{"id":"2205.14192","title":"Constrained Langevin Algorithms with L-mixing External Random Variables","created":"2022-05-27","cited_by_count":6,"area":null},{"id":"2403.12012","title":"Convergence of Kinetic Langevin Monte Carlo on Lie groups","created":"2024-03-18","cited_by_count":6,"area":null},{"id":"2405.16736","title":"A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers","created":"2024-05-27","cited_by_count":6,"area":null},{"id":"2408.13115","title":"Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias","created":"2024-08-20","cited_by_count":4,"area":null},{"id":"2405.03468","title":"Hierarchic Flows to Estimate and Sample High-dimensional Probabilities","created":"2024-05-06","cited_by_count":3,"area":null},{"id":"2505.02621","title":"Mirror Mean-Field Langevin Dynamics","created":"2025-05-05","cited_by_count":3,"area":null},{"id":"2509.19455","title":"Anchored Langevin Algorithms","created":"2025-09-23","cited_by_count":3,"area":null},{"id":"2210.13867","title":"A Dynamical System View of Langevin-Based Non-Convex Sampling","created":"2022-10-25","cited_by_count":2,"area":null},{"id":"2501.16055","title":"Random Reshuffling for Stochastic Gradient Langevin Dynamics","created":"2025-01-27","cited_by_count":2,"area":null},{"id":"2608.02430","title":"Wasserstein mixing time of the unadjusted Langevin algorithm","created":"2026-08-03","cited_by_count":2,"area":null},{"id":"2509.25630","title":"When Langevin Monte Carlo Meets Randomization: New Sampling Algorithms with Non-asymptotic Error Bounds beyond Log-Concavity and Gradient Lipschitzness","created":"2025-09-30","cited_by_count":1,"area":null}],"next_cursor":null}