Markov Chain Monte Carlo

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5 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-21

1 new paper

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Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Markov Chain Monte Carlo.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Markov Chain Monte Carlo.

47 papers

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

    Sep 23, 2026Stefan OberdörsterMarkov Chain Monte Carlo

  2. METALICA: METAdynamics and repLICA exchange for enhanced diffusion sampling

    Sep 15, 2026Alireza Omidi, Jiajun He, Jörg Gsponer +1Markov Chain Monte CarloDiffusion Sampling

  3. Optimal Slice-Adaptive Tuning of Hybrid Slice Sampling

    Sep 8, 2026Trevor CampbellMarkov Chain Monte Carlo

  4. Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference

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

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

    Sep 1, 2026Ariel Smogorghevski, Nir Rosenfeld, Yaniv RomanoMarkov Chain Monte CarloConditional Distribution

  6. Exact Global MCMC with Denoising Diffusion

    Aug 31, 2026Mitch HillMarkov Chain Monte CarloDiffusion Sampling

  7. ReFP-AD: Rectified Flow Preconditioning for Energy-Based Anomaly Detection

    Aug 3, 2026Camile Lendering, Erkut Akdag, Joaquín Figueira +1Reconstruction-Based Anomaly DetectionAnomaly Detection

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

    Jul 29, 2026Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner +1Markov Chain Monte CarloExpectation-Maximization

  9. BayesPO: Bayesian Prompt Optimization via Parallel-Tempered Gradient-Guided Discrete MCMC

    Jul 17, 2026Junjie Zhou, Zhijian OuPrior Prompt Optimization TechniquesPosterior Sampling

  10. SalientGS: Unified SfM-to-3DGS with Importance-Guided MCMC Gaussian Allocation

    Jul 13, 2026Tianyu Xiong, Rui Li, Suning Ge +13D Gaussian SplattingMarkov Chain Monte Carlo

  11. An End-to-End Hybrid Quantum--Classical Sampling Workflow for Discrete Markov Random Fields: A Reproducible Case Study

    Jul 10, 2026Arul Rhik MazumderMarkov Chain Monte CarloHybrid Quantum Neural Networks

  12. Gradient-free Riemannian Langevin Sampler

    Jul 8, 2026Ricardo Baptista, Olivier ZahmMarkov Chain Monte CarloReasoning Trap

  13. Optimal scaling of MCMC algorithms: the Hamiltonian approach

    Jul 1, 2026P. Dobson, J. M. Sanz-Serna, K. C. ZygalakisMarkov Chain Monte CarloNeural Scaling Laws

  14. Diffusion-warm sampling of the XY model enables fast thermalization at scale

    Jun 29, 2026Sehmimul Hoque, Roger Melko, Pooya RonaghTwo-Dimensional Ising ModelMarkov Chain Monte Carlo

  15. Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC

    Jun 25, 2026Alina Bazarova, Johann Fredrik Jadebeck, Henrik Zunker +5Epidemic ForecastingBayesian

  16. Learning Dynamical Systems from Multiple Sparse Datasets: A Hierarchical Bayesian Modeling Approach

    Jun 23, 2026Cristian Brugnara, Lea Multerer, Marco Forgione +1System IdentificationDynamical Systems

  17. Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery

    Jun 22, 2026Runzhe Liu, Zihao Wang, Wenbo Yang +1Gaussian ProcessMarkov Chain Monte Carlo

  18. Online Distributional Prediction via Latent Cluster Geometry Under Drift and Corruption

    Jun 17, 2026Navyansh Mahla, Prateek Chanda, Ganesh RamakrishnanDistributional LearningPosterior

  19. Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels

    Jun 15, 2026Kirill Korolev, Nikita Morozov, Stepan Pavlenko +2Markov Chain Monte CarloSamplers

  20. Sample Where You Struggle: Sharpening Base Model Reasoning via Entropy-Guided Power Sampling

    Jun 7, 2026Hong Guo, Nianhui Guo, Christoph Meinel +1Importance SamplingEntropy-Regularized Equilibrium Selection

  21. Folded Transport MCMC: Eliminating Label Switching by Sampling on a Fundamental Domain

    Jun 3, 2026Jun HuMarkov Chain Monte CarloMixture Models

  22. Constituency Optimisation Through Hamiltonian Representation Of Mandates (COTHROM): Algorithmic Redistricting of Irish Election Boundaries

    Jun 2, 2026Ruaidhrí Campion, Matthew Fenlon, Joshua Cooney Mercedal +3HamiltonianMarkov Chain Monte Carlo

  23. Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows

    May 31, 2026Jun HuMarkov Chain Monte CarloNormalizing Flows

  24. Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo

    May 29, 2026Yu Wang, Jie Ding, Jonathan H. HugginsReliable Uncertainty QuantificationStochastic Gradient Descent

  25. Self-Certifying Transport MCMC via Dual Spectral-Gap Certificates

    May 29, 2026Jun HuMarkov Chain Monte CarloFinite-Sample Certificates

  26. True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration

    May 28, 2026Qinghua, Ding, Venkat AnantharamMarkov Chain Monte CarloEstimators

  27. MST-Direct at Scale: Multivariate and Conditional Geostatistical Simulation via Sinkhorn Optimal Transport

    May 26, 2026Tcharlies Bachmann SchmitzOptimal TransportMarkov Chain Monte Carlo

  28. The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling

    May 23, 2026Trenton Lau, Gary P. T. ChoiMaximum LikelihoodMarkov Chain Monte Carlo

  29. AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers

    May 18, 2026Jungang Zou, Alex Ziyu Jiang, Qixuan ChenMarkov Chain Monte CarloMarkovian Sampling

  30. Bayesian-Monte Carlo Schedule Updating for Construction Digital Twins: A Probabilistic Framework for Dynamic Project Forecasting

    May 17, 2026Atena Khoshkonesh, Mohsen Mohammadagha, Vinayak Kaushal +1Building Information ModelingMarkov Chain Monte Carlo

  31. Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo

    May 9, 2026Jannik Graebner, Ryne BeesonTrajectory OptimizationMulti-Objective Optimization

  32. Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods

    May 8, 2026Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal +3Cardiac MotionContinuous Distance Field

  33. Conditional generation of antibody sequences with classifier-guided germline-absorbing discrete diffusion

    May 7, 2026Justin Sanders, Luca Giancardo, Lan Guo +4AntibodySequence

  34. Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy

    May 5, 2026Kisung YouMarkov Chain Monte CarloSample Size

  35. Decentralized Proximal Stochastic Gradient Langevin Dynamics

    May 1, 2026Mohammad Rafiqul Islam, Lingjiong ZhuProximal Gradient DescentGibbs Measures

  36. Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision

    May 1, 2026Jiali Cui, Zhiqiang Lao, Heather YuVariational AutoencoderMarkov Chain Monte Carlo

  37. Preserving Temporal Dynamics in Time Series Generation

    Apr 29, 2026Ci Lin, Futong Li, Tet Yeap +1Synthetic Time SeriesGenerative Adversarial Network

  38. Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models

    Apr 28, 2026Xianghao Meng, James L. Beck, Yong Huang +1Markov Chain Monte CarloBayesian

  39. Heterogeneous Variational Inference for Markov Degradation Hazard Models: Discretized Mixture with Interpretable Clusters

    Apr 27, 2026Takato YasunoMixture ModelsVariational Inference

  40. Learning to Solve the Quadratic Assignment Problem with Warm-Started MCMC Finetuning

    Apr 22, 2026Yicheng Pan, Ruisong Zhou, Haijun Zou +2Patient-To-Room Assignment ProblemQuantum Approximate Optimization Algorithm

  41. Towards E-Value Based Stopping Rules for Bayesian Deep Ensembles

    Apr 20, 2026Emanuel Sommer, Rickmer Schulte, Sarah Deubner +2Early StoppingMarkov Chain Monte Carlo

  42. Boltzmann Machine Learning with a Parallel, Persistent Markov chain Monte Carlo method for Estimating Evolutionary Fields and Couplings from a Protein Multiple Sequence Alignment

    Apr 20, 2026Sanzo MiyazawaProtein Data BankMarkov Chain Monte Carlo

  43. Scalable Model-Based Clustering with Sequential Monte Carlo

    Apr 16, 2026Connie Trojan, Pavel Myshkov, Paul Fearnhead +3Image ClusteringMarkov Chain Monte Carlo

  44. Training Energy-Based Models with Non-MCMC Samplers and Efficient Temperature Estimation

    Dec 2, 2025Kentaro Kubo, Hayato GotoMarkovian SamplingMarkov Chain Monte Carlo

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

    Oct 20, 2025Atticus McWhorter, Daryl DeFordExponential Random Graph ModelsMarkov Chain Monte Carlo

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

    Oct 20, 2025Bo Liang, Hanlin Song, Chang Liu +9Exoplanet AtmospheresNear-Earth Objects

  47. Gaussian Invariant Markov Chain Monte Carlo

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