Markov Chain Monte Carlo

Also known as MCMC

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Latest papers 142

27 papers in the last four weeks, up 50% on the four weeks before. 0.2% of all new papers.

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  1. BridgeTwist: Twisting Schrödinger Bridges for Training-Free Conditional Sampling

    Oct 13, 2026Mengyu Li, Qianqian Qu, Jun S. LiuConditional Generative ModelingPosterior Sampling

    Department of Statistics and Data Science, Tsinghua University, Beijing, China

  2. SCOPE Before You Sample: Conformal Scores Guide Posterior Exploration for Fast and Calibrated Bayesian Predictive Inference

    Oct 12, 2026Zahra Moslemi, Ziyi Liang, Babak ShahbabaBayesian InferencePosterior Sampling

    University of California, Irvine · University of California, Santa Barbara

  3. NFDiag\texttt{NFDiag}: High-dimensional MCMC Convergence Diagnosis with Normalizing Flows

    Oct 12, 2026Kutay Nazlı, Elena SellentinMarkov Chain Monte CarloBayesian Inference

    Leiden Observatory, Leiden University, Einsteinweg 55 2333 CC Leiden, Netherlands · Mathematical Institute, Leiden University, Einsteinweg 55 2333 CC Leiden, Netherlands

  4. Sampling from Neural Operator Priors to Solve Partial Differential Equations

    Oct 12, 2026Andrew Millard, Joshua Murphy, Zheng ZhaoPDE SolvingPosterior Sampling

    Department of Computer and Information Science, Linköping University, Sweden. · Department of Political Science, Trinity College Dublin, Ireland.

  5. Inference-Time Steering Across Scaffolds and Epitopes for Sample-Efficient De Novo Nanobody Design

    Oct 9, 2026Mason Minot, Simon Friedensohn, Cédric R. WeberInference-Time Compute AllocationProtein Binder Design

    Alloy Therapeutics Allschwil, Switzerland

  6. PreSTO: Predictive Subtree Prefetching for Fast LLM Power Sampling

    Oct 9, 2026Nan Jiang, Panagiotis Theodoropoulos, Wei DengLLM Inference AccelerationMarkov Chain Monte Carlo

    University of Texas at El Paso · Georgia Institute of Technology · Morgan Stanley

  7. Amortised Inference through One-Step Implicit Sampling

    Oct 8, 2026Vincent Pauline, Kirill Tamogashev, Arran Carter +3Amortized InferencePosterior Sampling

    Technical University of Munich · Munich Center for Machine Learning · University of Edinburgh +1

  8. Accelerating Non-Smooth and Heavy-Tailed Sampling

    Oct 8, 2026Pervez Ali, Xiaoyu Wang, Yingli Wang +1Langevin DynamicsMarkov Chain Monte Carlo

    Department of Mathematics, Florida State University, Tallahassee, Florida, United States of America · Fintech Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong Province, People’s Republic of China · School of Mathematical Sciences, Fudan University, Shanghai, People’s Republic of China

  9. Transformed Samplers with Variance Reduction

    Oct 7, 2026Siran Liu, Michalis Tisias, Petros DellaportasMarkov Chain Monte CarloVariance Reduction

    Department of Statistical Science, University College London, UK. · Google DeepMind, UK. · Department of Statistical Science, University College London, UK, and Department of Statistics, Athens University of Economics and Business, Greece.

  10. Broadly Applicable Approximate MCMC for Switching Stochastic Differential Equations Using Uniformization and Time-Conditioned Factorized Neural Likelihood Estimation

    Oct 7, 2026Shion Hosoda, Michiaki HamadaStochastic Differential EquationsRegime-Switching Dynamical Systems

    Waseda University · National Institute of Advanced Industrial Science and Technology · Nippon Medical School

  11. Kinetic Langevin Meets Split Gibbs: Accelerated Posterior Sampling for Imaging Inverse Problems with Diffusion Priors

    Oct 7, 2026Dai Hai Nguyen, Duc Dung NguyenBayesian Inverse ProblemsMarkov Chain Monte Carlo

    Hokkaido University · Institute of Information Technology, VAST

  12. Reflected Anchored Langevin Algorithms

    Oct 7, 2026Changwei Tu, Xiaoyu Wang, Yingli Wang +2Langevin DynamicsMarkov Chain Monte Carlo

    Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong Province, People’s Republic of China · School of Mathematical Sciences, Fudan University, Shanghai, People’s Republic of China · School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, People’s Republic of China +1

  13. Noise, Denoise, Correct: MCMC Posterior Sampling with Diffusion Priors in Three Steps

    Oct 7, 2026So Takao, Gregory David Bellchambers, Luke Ye +2Diffusion Posterior SamplingDiffusion-Based Inverse Problems

    PhysicsX London, UK

  14. Sharp dimensional analysis of midpoint methods for Langevin sampling

    Oct 5, 2026Fan Chen, Sinho Chewi, Jianfeng Lu +1Markov Chain Monte CarloStochastic Differential Equations

    Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. · Department of Statistics and Data Science, Yale University. · Department of Mathematics, Duke University. +1

  15. Gradient-Free Sampling from Generative Models via Stochastic Bounded Extremum Seeking

    Oct 3, 2026Alexander ScheinkerDiffusion SamplingMarkov Chain Monte Carlo

    Instrumentation and Controls Group Los Alamos National Laboratory Los Alamos, NM 87544, USA

  16. Metropolis-Hastings Dominates Importance Resampling for Policy Composition

    Oct 2, 2026Alexey Kurennoy, Ramil Yarullin, Fergal ReidLanguage Model DecodingInference-Time Language Model Alignment

  17. LatticeSMC: Where to Spend Inference-Time Compute in Chunked Sequence Generators

    Oct 2, 2026Xuanchen Wang, Heng Wang, Weidong CaiInference-Time GuidanceDiffusion Model Sampling

    School of Computer Science The University of Sydney Sydney, NSW, Australia

  18. ENCORE: Exact Non-equilibrium COntrol with Replica Exchange for Diffusion Generation

    Oct 1, 2026Jiahao Yu, Saifuddin Syed, José Miguel Hernández-Lobato +1Inference-Time GuidanceDiffusion Sampling

    University of Oxford · University of Cambridge · University of British Columbia

  19. Muon meets Tamed Langevin: Momentum Preconditioning beyond Convex and gradient-Lipschitz Potentials

    Oct 1, 2026Nikolaos Makras, Sotirios SabanisMarkov Chain Monte CarloMomentum Methods

    School of Mathematics, University of Edinburgh, UK · National Technical University of Athens, Greece · Athena/Archimedes Research Centre, Greece

  20. Error-Corrected Inference-Time Scaling for Imperfect Diffusion Models

    Oct 1, 2026Zuokai Wen, Louis Grenioux, Weinan E +1Markov Chain Monte CarloDiffusion Model Sampling

    School of Artificial Intelligence, Shanghai Jiao Tong University · Center for Computational Mathematics, Flatiron Institute · School of Mathematical Sciences, Peking University

  21. Posterior sampling by source-space MCMC via prior-based few-step transport maps

    Oct 1, 2026Hoang Phuc Hau Luu, Marcelo Hartmann, Zhongjian WangMarkov Chain Monte CarloBayesian Inference

    Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore. · Department of Computer Science, Faculty of Science, University of Helsinki, Finland.

  22. Near-Linear Accuracy Bounds for Moreau--Yosida Unadjusted Langevin Sampling

    Sep 30, 2026Yuchen Xin, Zhihua ZhangMarkov Chain Monte CarloLangevin Dynamics

    School of Mathematical Sciences, Peking University

  23. Iterative Exact Discrete Guidance for Energy-Based Sampling

    Sep 29, 2026Yuwen Qian, Yidong Ouyang, Zhengyan Wan +1Adaptive SamplingMarkov Chain Monte Carlo

    School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen · Department of Statistics, University of California, Los Angeles · School of Data Science, The Chinese University of Hong Kong, Shenzhen

  24. FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models

    Sep 28, 2026Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff +2Diffusion SamplingDiffusion Models

    Kempner Institute Harvard University · ICME Stanford University · Department of Chemistry Stanford University +2

  25. ReSight-SMC: Two-Stage Power Sampling via Island SMC with Visual Scouts

    Sep 28, 2026Yaowen Zhang, Xiangyu Qiu, Junyi Hu +5Markov Chain Monte CarloLarge Vision-Language Models

    Independent Researcher · University of Electronic Science and Technology of China · Tsinghua University

  26. FUND: Density Flow for Sampling Unnormalised Distributions

    Sep 26, 2026Vikas Kanaujia, Vipul AroraFlow-Based Generative ModelingFlow Matching

    Department of Electrical Engineering IIT Kanpur · Department of Electrical Engineering KU Leuven

  27. Neural Transport Nested Sampling

    Sep 24, 2026David Yallup, Will HandleyMarkov Chain Monte CarloMolecular Dynamics Simulation

    Kavli Institute for Cosmology Cambridge Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge, CB3 0HA, UK

  28. Local Geometric Mixing via Dobrushin Contraction with Applications to Diffusion Path Monte Carlo and the Proximal Sampler

    Sep 23, 2026Stefan OberdörsterMarkov Chain Monte CarloPosterior Sampling

    Institute for Applied Mathematics, University of Bonn

  29. Penalized Nonreversible Langevin for Constrained Sampling

    Sep 21, 2026Pervez Ali, Weihao Dong, Xiaoyu WangMarkov Chain Monte CarloStochastic Gradient Langevin Dynamics

    Department of Mathematics, Florida State University, Tallahassee, Florida, United States of America · Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, People’s Republic of China · FinTech Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, People’s Republic of China

  30. Auditing Bayesian Graph Alignment: Diagnostic Comparisons and Reference Failure

    Sep 19, 2026Melika Gorgi, Kourosh MirsohiMarkov Chain Monte CarloBenchmark Auditing

    Center for Complex Biological Systems University of California, Irvine Irvine, CA 92697, USA · Department of Computer Science University of California, Irvine Irvine, CA 92697, USA