Latest papers 56

11 papers in the last four weeks, up 120% on the four weeks before. 0.1% of all new papers.

All topics
CardsList
  1. Diffusion Removes Langevin's Conditioning Dependence: A Sharp Gaussian Analysis

    Oct 8, 2026Adam Perbost, Francis Bach, Pierre MarionDiffusion SamplingScore-Based Generative Modeling

  2. Accelerating Non-Smooth and Heavy-Tailed Sampling

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

  3. Reflected Anchored Langevin Algorithms

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

  4. Sharp dimensional analysis of midpoint methods for Langevin sampling

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

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

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

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

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

  7. Ornstein-Uhlenbeck Is Hard to Beat, Yet Superlinear Drift Ships Lower Transport Costs

    Sep 29, 2026Attila Lovas, Lóránt NagyDiffusion-Based Image GenerationScore-Based Generative Modeling

  8. First-Order Stationarity of Reverse Diffusions

    Sep 25, 2026Zhifeng Chen, Chenyang Jiang, Yazhen WangDiffusion ModelsDiffusion Sampling

  9. Penalized Nonreversible Langevin for Constrained Sampling

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

  10. Poisson-Corrector Complexity Bounds for Moreau--Yosida Unadjusted Langevin Sampling

    Sep 11, 2026Yuchen Xin, Zhihua ZhangLangevin DynamicsLog-Concave Sampling

  11. Fast PAC Global Optimization via Restarted Langevin: Exploration, Exploitation, and Degenerate Cooling

    Sep 5, 2026Ioannis Kontoyiannis, Sean MeynGlobal OptimizationLangevin Dynamics

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

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

  13. Rényi Tracking Bounds for Langevin Dynamics with Moving Targets

    Aug 25, 2026Yuchen Xin, Jingxin Zhan, Zhihua ZhangLangevin Dynamics

  14. Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors

    Aug 18, 2026Deliang Wei, Evan Bell, Wenhan Guo +2Posterior SamplingBayesian Inverse Problems

  15. Active-Trace Complexity Bounds for Moreau--Yosida Unadjusted Langevin Sampling

    Aug 13, 2026Yuchen Xin, Zhihua ZhangLangevin DynamicsSample Complexity

  16. The Tamed Subgradient Unadjusted Langevin Algorithm beyond Convexity

    Aug 6, 2026Iosif Lytras, Nikolaos Makras, Sotirios SabanisStochastic Gradient Langevin DynamicsLangevin Dynamics

  17. Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10

    Aug 5, 2026Dmytro KnopovStochastic Gradient Langevin DynamicsLangevin Dynamics

  18. Particle-based Generalised Stochastic Optimisation

    Aug 3, 2026Jiechen Jackie Zhang, O. Deniz AkyildizStochastic OptimizationLangevin Dynamics

  19. Teacher Knows It Best: Spontaneous Symmetry Breaking and Tipping Points in Networked Langevin Dynamics AI Sycophancy

    Jul 27, 2026Sayantari Ghosh, Saumik Bhattacharya, Partha Pratim ChakrabartiLLM SycophancyLangevin Dynamics

  20. RELTA-SGLD: Relative-Growth Localized Taming for Nonconvex Stochastic-Gradient Langevin Learning

    Jul 21, 2026Yiwei Zhou, Ziheng ChenStochastic Gradient Langevin DynamicsLangevin Dynamics

  21. Delocalization of bias in unadjusted Hamiltonian Monte Carlo and underdamped Langevin

    Jul 16, 2026Yifan Chen, Xiaoou Cheng, Jonathan Niles-Weed +1Markov Chain Monte CarloLangevin Dynamics

  22. Avoiding unsafe sets when training with Langevin Dynamics

    Jul 8, 2026Adam M. ObermanLangevin DynamicsStochastic Optimization Convergence

  23. Variance Reduction for Stochastic Gradient Generalized Non-reversible Langevin Monte Carlo Algorithms

    Jun 27, 2026Bingye Ni, Xiaoyu Wang, Yingli Wang +1Markov Chain Monte CarloStochastic Gradient Langevin Dynamics

  24. Accelerated sampling using SamAdams variable timesteps and position-adaptive Langevin dynamics

    Jun 25, 2026Benedict Leimkuhler, Peter A. WhalleyLangevin DynamicsPosterior Sampling

  25. Deterministic Envelopes for Tamed SGLD: Decoupling Stochastic Gradient Noise and Localizing Taming

    Jun 3, 2026Yiwei Zhou, Ziheng ChenStochastic Differential EquationsStochastic Gradient Langevin Dynamics

  26. Speculative Sampling For Faster Molecular Dynamics

    Jun 1, 2026Arthur Kosmala, Stephan Günnemann, Meng Gao +1Langevin DynamicsMolecular Dynamics Simulation