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. FlowSGS: Improving Flow Priors for Inverse Imaging with Stochastic Interpolants

    Sep 17, 2026Tianao Li, Xinhui Qian, Emma AlexanderFlow MatchingMarkov Chain Monte Carlo

    Department of Computer Science, Northwestern University · NSF-Simons AI Institute for the Sky (SkAI) · Department of Statistics and Data Science, Northwestern University

  2. GRPO-QPS: Target-Preserving Reinforcement Learning for Quantum Posterior Sampling

    Sep 13, 2026Yufeng Wang, Parivesh Priye, Lu Wei +1Markov Chain Monte CarloQuantum State Tomography

    Stony Brook University · Georgia Institute of Technology · Westlake University

  3. Evaluation of optimisation and Bayesian inference methods for reaction rates in atmospheric chemical mechanisms

    Sep 13, 2026Valery Ashu, Wenqing Peng, Zhi-Song Liu +7Parameter EstimationBayesian Inverse Problems

    Department of Computational Engineering, LUT University, 15210, Lahti, Finland · Atmospheric Modelling Center-Lahti, 15140, 15140, Lahti, Finland · Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, 00014, Helsinki, Finland +2

  4. Particle GFlowNets: Rethinking Generative Marginalization Models

    Sep 10, 2026Tiago da Silva, Diego Mesquita, Salem LahlouMarkov Chain Monte CarloGenerative Flow Networks

    MBZUAI · School of Applied Mathematics, Getulio Vargas Foundation

  5. Optimal Slice-Adaptive Tuning of Hybrid Slice Sampling

    Sep 8, 2026Trevor CampbellMarkov Chain Monte Carlo

    Department of Statistics, UBC

  6. Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference

    Sep 7, 2026Heinrich von Campe, Bjoern Malte SchaeferMarkov Chain Monte CarloBayesian Inference

    Interdisziplinäres Zentrum für wissenschaftliches Rechnen, Universität Heidelberg · Tübingen AI Center, University of Tübingen · ELLIS Institute Tübingen +2

  7. Microcanonical Hamiltonian Monte Carlo and the Helmholtz Theorem

    Sep 7, 2026Heinrich von Campe, Bjoern Malte SchaeferMarkov Chain Monte Carlo

    Interdisziplinäres Zentrum für wissenschaftliches Rechnen, Universität Heidelberg · Tübingen AI Center, University of Tübingen · ELLIS Institute Tübingen +2

  8. Smoothed Picard Hamiltonian Monte Carlo

    Sep 7, 2026Fan Chen, Sinho Chewi, Jianfeng Lu +1Markov Chain Monte CarloLog-Concave Sampling

    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

  9. Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler

    Sep 7, 2026Fan Chen, Sinho Chewi, Jianfeng Lu +1Markov Chain Monte CarloLog-Concave Sampling

    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

  10. HyperMC: Multi-Fidelity Hyperparameter Tuning for Stochastic Gradient MCMC

    Sep 2, 2026Ming Tan, Xiyun JiaoHyperparameter OptimizationMarkov Chain Monte Carlo

    Department of Statistics and Data Science Southern University of Science and Technology Shenzhen, Guangdong, China · Department of Statistics and Data Science2026 Southern University of Science and Technology Shenzhen, Guangdong, China

  11. When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting

    Sep 1, 2026Ariel Smogorghevski, Nir Rosenfeld, Yaniv RomanoMarkov Chain Monte CarloMarkov Models

    Department of Data and Decision Sciences, Technion – Israel Institute of Technology · Department of Computer Science, Technion – Israel Institute of Technology · Department of Electrical and Computer Engineering, Technion – Israel Institute of Technology

  12. Exact Global MCMC with Denoising Diffusion

    Aug 31, 2026Mitch HillMarkov Chain Monte CarloMarkov Models

  13. On two proofs of d2d^2 mixing of weighted Dikin walks

    Aug 28, 2026Yuansi Chen, Yunbum KookMarkov Chain Monte CarloLog-Concave Sampling

    ETH ZÜrich · University of Michigan

  14. Bayesian methods and Markov chain Monte Carlo algorithms for curve reconstruction and point cloud data analysis

    Aug 27, 2026Asir Intesar Tushar, Ioannis SgouralisUncertainty QuantificationBayesian Inference

    Department of Mathematics, University of Tennessee, Knoxville, TN, USA

  15. Improved Analysis for Hessian-free High-resolution Monte Carlo Sampling

    Aug 25, 2026Wujun Lv, Xiaoyu Wang, Yingli Wang +1Markov Chain Monte CarloLangevin Dynamics

    School of Mathematics and Statistics, Donghua University, Shanghai, People’s Republic of China · 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 +1

  16. Provable Quantum-Classical Separation for Continuous Gibbs Sampling

    Aug 25, 2026Enrico Olivucci, Mariia Sobchuk, Sehmimul Hoque +4Markov Chain Monte Carlo

    1Irr´eversible Inc., Sherbrooke, Qu´ebec, Canada · Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada · Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada +3

  17. Heteroscedastic Neural Surrogate Modeling for Robust and Rapid Bayesian Inference in Fusion Plasma Diagnostics

    Aug 19, 2026Liyun Zhang, Naoya Mamada, Kentaro Sakai +2Neural Surrogate ModelingBayesian Inference

    GSFS, The University of Tokyo Japan

  18. Nonlocal Transition Kernel for Efficient Learning of Restricted Boltzmann Machines

    Aug 18, 2026Kaiji Sekimoto, Muneki YasudaRestricted Boltzmann MachinesMarkov Chain Monte Carlo

    Graduate School of Science and Engineering, Yamagata University, Japan

  19. Spectral Gaps of Hit-and-Run and Coordinate Hit-and-Run

    Aug 17, 2026Yunbum Kook, Santosh S. VempalaMarkov Chain Monte CarloMarkov Models

    University of Michigan · Georgia Tech

  20. FLARE MCMC: Fidelity-based Layer-Adaptive REcursive proposals for MCMC

    Aug 13, 2026Harini Venkatesan, Christian Shelton, Ming-Feng Ho +2Markov Chain Monte CarloPosterior Sampling

    Department of Computer Science and Engineering, University of California, Riverside · Leinweber Center for Theoretical Physics, University of Michigan · Department of Physics and Astronomy, University of California, Riverside

  21. LazyHMC: Hamiltonian Monte Carlo Simulation for Lazy, Infinite Dimensional Probabilistic Programs

    Aug 9, 2026Maria-Nicoleta Crăciun, C. -H. Luke Ong, Tom Schrijvers +1Markov Chain Monte CarloAutomatic Differentiation

    University of Oxford, UK · Nanyang Technological University, Singapore, Singapore · KU Leuven, Leuven, Belgium

  22. A Direct Route to Markov Chain Convergence via Asymptotic Equivalence with the Target

    Aug 4, 2026Patrick ForréMarkov Chain Monte CarloConvergence Analysis

    AI4Science Lab Korteweg-de Vries Institute for Mathematics University of Amsterdam

  23. Wasserstein mixing time of the unadjusted Langevin algorithm

    Aug 3, 2026Francesco Pedrotti, Peter A. WhalleyMarkov Chain Monte CarloLangevin Dynamics

    ETH Zürich

  24. Tunneling the Loss Landscape: Bypassing Memorization with Monte Carlo Parameter Swapping

    Aug 3, 2026Lai Shun Chan, Xiaotian Zhang, Yue Shang +2Neural Network GeneralizationMarkov Chain Monte Carlo

    Department of Physics, City University of Hong Kong, Hong Kong, China · Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA · 3Innovation Campus Delaware, Air Liquide, Newark, DE, USA

  25. Windowed thinning and query complexity for the bouncy particle and Zigzag samplers

    Jul 30, 2026Jianfeng Lu, Yinchen LuoMarkov Chain Monte CarloQuery Complexity

  26. Accelerated Random-Sweep Gibbs Sampling for Gaussian Graphical Models via Dual Normal Factor Graphs

    Jul 30, 2026Borna Khodabandeh, Mehdi MolkaraieFactor Graph OptimizationMarkov Chain Monte Carlo

    Department of Statistics, University of Oxford, Oxford OX1 3LB, UK · Department of Signal Theory and Communications, UPC, 08034 Barcelona, Spain · Department of Statistical Sciences, University of Toronto, ON M5G 1X6, Canada

  27. Equilibrium Training of Energy-Based Models with Parallel Trajectory Tempering

    Jul 29, 2026Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner +1Markov Chain Monte CarloEnergy-Based Models

    Université Paris-Saclay, CNRS, INRIA, LISN, 91190 Gif-sur-Yvette, France · Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, Spain · Departamento de Física Teórica & IPARCOS, Universidad Complutense de Madrid, 28040 Madrid, Spain.

  28. Guiding Posterior Exploration with Optimizer-Derived Geometry

    Jul 28, 2026Moritz Schlager, Emanuel Sommer, Thomas Möllenhoff +1Bayesian Neural NetworksMarkov Chain Monte Carlo

    TUM, MCML · LMU Munich, MCML · RIKEN AIP

  29. Practical advantage beyond the quadratic speedup limit with fully-quantum walks

    Jul 24, 2026Massimiliano Incudini, Guglielmo MazzolaMarkov Chain Monte CarloIsing Model

    International School for Advanced Studies (SISSA), via Bonomea 265, 34136 Trieste, Italy

  30. Parallel Noising in Neural Markov Logic Networks

    Jul 21, 2026Peter Jung, Giuseppe Marra, Ondrej KuzelkaMarkov Chain Monte CarloGraph Generation

    Czech Technical University, Prague, Czech Republic · Department of Computer Science, KU Leuven, Leuven, Belgium