{"total":39,"rows":[{"id":"2310.10835","title":"Provable Probabilistic Imaging using Score-Based Generative Priors","created":"2023-10-16","cited_by_count":51,"area":null},{"id":"2210.08448","title":"Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling","created":"2022-10-16","cited_by_count":22,"area":null},{"id":"2405.01425","title":"In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies","created":"2024-05-02","cited_by_count":19,"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":"2302.06085","title":"Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler","created":"2023-02-13","cited_by_count":10,"area":null},{"id":"2306.08494","title":"Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited","created":"2023-06-14","cited_by_count":10,"area":null},{"id":"2111.04089","title":"Sampling from Log-Concave Distributions with Infinity-Distance Guarantees","created":"2021-11-07","cited_by_count":8,"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":"2405.07839","title":"Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics","created":"2024-05-13","cited_by_count":7,"area":null},{"id":"2501.11743","title":"Non-Reversible Langevin Algorithms for Constrained Sampling","created":"2025-01-20","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":"2505.18017","title":"Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling","created":"2025-05-23","cited_by_count":6,"area":null},{"id":"2110.11181","title":"Sensing Cox Processes via Posterior Sampling and Positive Bases","created":"2021-10-21","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":"2502.03458","title":"The Performance Of The Unadjusted Langevin Algorithm Without Smoothness Assumptions","created":"2025-02-05","cited_by_count":4,"area":null},{"id":"2503.19066","title":"Accelerating Langevin Monte Carlo Sampling: A Large Deviations Analysis","created":"2025-03-24","cited_by_count":4,"area":null},{"id":"2203.10215","title":"Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems","created":"2022-03-19","cited_by_count":3,"area":null},{"id":"2407.12967","title":"R\\'enyi-infinity constrained sampling with $d^3$ membership queries","created":"2024-07-17","cited_by_count":3,"area":null},{"id":"2510.02983","title":"Oracle-based Uniform Sampling from Convex Bodies","created":"2025-10-03","cited_by_count":3,"area":null},{"id":"2405.15379","title":"Randomized Midpoint Method for Log-Concave Sampling under Constraints","created":"2024-05-24","cited_by_count":2,"area":null},{"id":"2506.07816","title":"Accelerating Constrained Sampling: A Large Deviations Approach","created":"2025-06-09","cited_by_count":2,"area":null},{"id":"2605.00723","title":"Decentralized Proximal Stochastic Gradient Langevin Dynamics","created":"2026-05-01","cited_by_count":2,"area":null},{"id":"2605.31413","title":"Improved Guarantees for Langevin Monte Carlo with Average Smoothness","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2608.13467","title":"Active-Trace Complexity Bounds for Moreau--Yosida Unadjusted Langevin Sampling","created":"2026-08-13","cited_by_count":2,"area":null},{"id":"2206.09384","title":"Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk","created":"2022-06-19","cited_by_count":1,"area":null},{"id":"2303.17109","title":"Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models","created":"2023-03-30","cited_by_count":1,"area":null},{"id":"2409.04320","title":"Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers","created":"2024-09-06","cited_by_count":1,"area":null},{"id":"2603.19633","title":"Alternating Diffusion for Proximal Sampling with Zeroth Order Queries","created":"2026-03-20","cited_by_count":1,"area":null},{"id":"2604.10373","title":"Shuffling the Data, Stretching the Step-size: Sharper Bias in constant step-size SGD","created":"2026-04-11","cited_by_count":1,"area":null},{"id":"2605.12461","title":"A proximal gradient algorithm for composite log-concave sampling","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2102.13068","title":"Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo","created":"2021-02-25","cited_by_count":0,"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":"2407.12751","title":"Scalable Monte Carlo for Bayesian Learning","created":"2024-07-17","cited_by_count":0,"area":null},{"id":"2410.23170","title":"Functional Gradient Flows for Constrained Sampling","created":"2024-10-30","cited_by_count":0,"area":null},{"id":"2602.03999","title":"Functional Stochastic Localization","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2602.23341","title":"Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.23397","title":"Kinetic Langevin Splitting Schemes for Constrained Sampling","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2606.01655","title":"MINTS: Minimalist Thompson Sampling","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2608.25706","title":"Fast rates in Bayesian online learning with approximate posteriors","created":"2026-08-26","cited_by_count":0,"area":null}],"next_cursor":null}