metropolis-adjusted langevin algorithm

The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks JMLR 2026 autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024 On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024 Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions JMLR 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference NeurIPS 2024 Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling JMLR 2022 Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions NeurIPS 2021 Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021 Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis CVPR 2021 Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019 Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019 Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018