langevin monte carlo

Accelerating Constrained Sampling: A Large Deviations Approach JMLR 2026 Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals JMLR 2026 ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression UAI 2025 Function-Space MCMC for Bayesian Wide Neural Networks AISTATS 2025 h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform CVPR 2025 Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025 Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning ICLR 2025 Non-asymptotic Error Bounds in W_2-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity ICML 2025 Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling ICLR 2025 Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization ICML 2025 Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024 Accelerating Neural Field Training via Soft Mining CVPR 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024 Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo COLT 2024 Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited ICLR 2024 Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Robust exploration with adversary via Langevin Monte Carlo L4DC 2024 The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models NeurIPS 2024 Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023 Fisher information lower bounds for sampling ALT 2023 Langevin Quasi-Monte Carlo NeurIPS 2023 Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo AISTATS 2023