langevin monte carlo

Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023 Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev COLT 2022 Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022 Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022 Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022 Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference NeurIPS 2022 Langevin Monte Carlo for Contextual Bandits ICML 2022 Sqrt(d) Dimension Dependence of Langevin Monte Carlo ICLR 2022 Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo COLT 2022 DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021 Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021 On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness COLT 2021 Random Coordinate Langevin Monte Carlo COLT 2021 Langevin Monte Carlo without smoothness AISTATS 2020 Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NeurIPS 2020 Wasserstein Control of Mirror Langevin Monte Carlo COLT 2020 Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019 Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope CVPR 2019 Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond NeurIPS 2019 Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NeurIPS 2018 Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent COLT 2017 Finite-Time Analysis of Projected Langevin Monte Carlo NeurIPS 2015 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013