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. From Independent to Correlated Diffusion: Generalized Generative Modeling with Probabilistic Computers

    Mar 30, 2026Nihal Sanjay Singh, Mazdak Mohseni-Rajaee, Shaila Niazi +1Diffusion ModelsPhysics-Informed Generative Modeling

    Department of Electrical and Computer Engineering, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA

  2. Algorithmic warm starts for Hamiltonian Monte Carlo

    Mar 24, 2026Matthew S. Zhang, Jason M. Altschuler, Sinho ChewiMarkov Chain Monte CarloSample Complexity

    UToronto · UPenn · Yale

  3. A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Sufficient Convergence Conditions and Mixing Time Analysis under Gaussian Targets

    Mar 19, 2026Samuel Gruffaz, Kyurae Kim, Fares Guehtar +2Markov Chain Monte Carlo

    Université Paris-Saclay, ENS Paris-Saclay, Centre Borelli, F-91190 Gif-sur-Yvette, France. · University of Pennsylvania

  4. Tackling the Sign Problem in the Doped Hubbard Model with Normalizing Flows

    Mar 18, 2026Dominic Schuh, Lena Funcke, Janik Kreit +2Quantum Many-Body PhysicsMarkov Chain Monte Carlo

    Transdisciplinary Research Area (TRA) Matter, University of Bonn, Bonn, Germany · Helmholtz Institute for Radiation and Nuclear Physics (HISKP), University of Bonn, Bonn, Germany · Institute for Advanced Simulation 4 (IAS-4), Forschungszentrum Jülich, Jülich, Germany

  5. Generative Replica-Exchange: A Flow-based Framework for Accelerating Replica Exchange Simulations

    Mar 18, 2026Shengjie Huang, Sijie Yang, Jianqiao Yi +6Molecular Dynamics SimulationParallel Tempering

    State Key Laboratory of Bioactive Molecules and Druggability Assessment, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Discovery of Chinese Ministry of Education (MOE), School of Pharmacy, Jinan University, #855 Xingye Avenue, Guangzhou, 510632, China · Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA · Howard Hughes Medical Institute, NYU Grossman School of Medicine, New York, NY 10016, USA +1

  6. A Generative Sampler for distributions with possible discrete parameter based on Reversibility

    Mar 10, 2026Lei Li, Zhen Wang, Lishuo ZhangGenerative ModelingMarkov Chain Monte Carlo

    School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, P.R.China. · Institute of Natural Sciences, MOE-LSC, Shanghai Jiao Tong University, Shanghai, 200240, P.R.China.

  7. Thermodynamic Regulation of Finite-Time Gibbs Training in Energy-Based Models: A Restricted Boltzmann Machine Study

    Mar 3, 2026Görkem Can SüleymanoğluRestricted Boltzmann MachinesEnergy-Based Models

    Owner and Software Developer, Kuanka Publishing LLC, Turkey. · Ph.D. Student in Economics, Selçuk University, Institute of Social Sciences, Turkey.

  8. Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence

    Mar 2, 2026Shiyuan Zhang, Qiwei Di, Xuheng Li +1Markov Chain Monte CarloLangevin Dynamics

    Department of Computer Science, University of California, Los Angeles, CA 90095, USA

  9. Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis-Hastings with Approximate Operators

    Feb 24, 2026Youguang Chen, George BirosPosterior SamplingMarkov Chain Monte Carlo

    Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, USA

  10. Counterdiabatic Hamiltonian Monte Carlo

    Feb 24, 2026Reuben Cohn-Gordon, Uroš Seljak, Dries SelsMarkov Chain Monte Carlo

    University of California, Berkeley · New York University

  11. Deep unfolding of MCMC kernels: scalable, modular & explainable GANs for high-dimensional posterior sampling

    Feb 24, 2026Jonathan Spence, Tobías I. Liaudat, Konstantinos Zygalakis +1Posterior SamplingGenerative Adversarial Networks

    Maxwell Institute for Mathematical Sciences, Bayes Centre, 47 Potterrow, Edinburgh, Scotland, UK · School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, Scotland, UK · IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France +1

  12. Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation

    Feb 17, 2026Zier Mensch, Lars Holdijk, Samuel Duffield +4Posterior SamplingMarkov Chain Monte Carlo

    Institute of Physics, University of Amsterdam, Netherlands · Department of Physics, National Taiwan University, Taiwan · Department of Computer Science, University of Oxford, United Kingdom +4

  13. Constrained and Composite Sampling via Proximal Sampler

    Feb 16, 2026Thanh Dang, Jiaming LiangLog-Concave SamplingMarkov Chain Monte Carlo

    Department of Computer Science, University of Rochester, Rochester, NY 14620. · Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI) and Department of Computer Science, University of Rochester, Rochester, NY 14620

  14. A Gibbs posterior sampler for inverse problem based on prior diffusion model

    Feb 11, 2026Jean-François GiovannelliMarkov Chain Monte CarloBayesian Inverse Problems

    Groupe Signal-Image, IMS (Univ. Bordeaux, CNRS, BINP), Talence, France

  15. Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler

    Dec 19, 2025Holden Lee, Matheau Santana-GijzenMarkov Chain Monte Carlo

  16. The Marked Edge Walk: A Novel MCMC Algorithm for Sampling of Graph Partitions

    Oct 20, 2025Atticus McWhorter, Daryl DeFordMarkov Chain Monte Carlo

    Department of Mathematics, Dartmouth College, 1 College Street, Hanover, 03755, NH, USA · Department of Mathematics and Statistics, Vassar College, 124 Raymond Avenue, Poughkeepsie, 12604, NY, USA

  17. Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network

    Oct 20, 2025Bo Liang, Hanlin Song, Chang Liu +9Markov Chain Monte CarloSimulation-Based Inference

    Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China · Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China · National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China +6

  18. Bouncy particle sampler with infinite exchanging parallel tempering

    Sep 2, 2025Yohei Saito, Shun Kimura, Koujin TakedaMarkov Chain Monte CarloParallel Tempering

    Center for Mathematics and Data Science, Gunma University · Graduate School of Science and Engineering, Ibaraki University

  19. Comparison of D-Wave Quantum Annealing and Gibbs Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine

    Aug 13, 2025Abdelmoula El-Yazizi, Yaroslav KoshkaMarkov Chain Monte CarloQuantum Annealing

    Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762, USA

  20. CoCre-Sam (Kokkuri-san): Modeling Ouija Board as Collective Langevin Dynamics Sampling from Fused Language Models

    Jul 16, 2025Tadahiro Taniguchi, Masatoshi Nagano, Haruumi Omoto +1Emergent CommunicationLarge Language Model-Based Social Simulation

    Graduate School of Informatics, Kyoto University, Japan · Ritsumeikan University, Japan · University of Reading, UK

  21. Last Layer Hamiltonian Monte Carlo

    Jul 11, 2025Koen Vellenga, H. Joe Steinhauer, Göran Falkman +2Bayesian Neural NetworksMarkov Chain Monte Carlo

    University of Skövde & Volvo Car Corporation, Sweden · University of Skövde, Sweden · Volvo Car Corporation, Sweden

  22. Gaussian Invariant Markov Chain Monte Carlo

    Jun 26, 2025Michalis K. Titsias, Angelos Alexopoulos, Siran Liu +1Markov Chain Monte CarloVariance Reduction

    Google DeepMind, UK · Athens University of Economics and Business, Greece · UCL, UK

  23. Quantum Speedups for Sampling and Non-convex Optimization with Stochastic Oracles

    Apr 4, 2025Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi +1Markov Chain Monte CarloStochastic Gradient Langevin Dynamics

    Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA · Department of Mathematics, Pennsylvania State University, University Park, PA, USA

  24. Variance Reduction for Independent Metropolis

    Jun 25, 2024Siran Liu, Petros Dellaportas, Michalis K. TitsiasMarkov Chain Monte CarloVariance Reduction

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

  25. Monte Carlo with kernel-based Gibbs measures: Guarantees for probabilistic herding

    Feb 18, 2024Martin Rouault, Rémi Bardenet, Mylène MaïdaMarkov Chain Monte CarloMaximum Mean Discrepancy

    1Univ. Lille, CNRS, Centrale Lille, UMR 9189 – CRIStAL, 59651 Villeneuve d’Ascq, France · 2Univ. Lille, CNRS, UMR 8524 – Laboratoire Paul Painlev´e, F-59000 Lille, France