Poster "markov chain monte carlo" Papers
16 papers found
Conference
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
Mengjing Wu, Junyu Xuan, Jie Lu
ICLR 2025
Fast training and sampling of Restricted Boltzmann Machines
Nicolas BEREUX, Aurélien Decelle, Cyril Furtlehner et al.
ICLR 2025arXiv:2405.15376
11
citations
Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
Emile Anand, Sarah Liaw
NEURIPS 2025arXiv:2507.15290
3
citations
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
Davide Straziota, Elizaveta Demyanenko, Carlo Baldassi et al.
NEURIPS 2025arXiv:2502.16292
2
citations
Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo
Jakob Robnik, Reuben Cohn-Gordon, Uros Seljak
NEURIPS 2025arXiv:2503.01707
4
citations
Models trained with unnormalized density functions: A need for a course correction
Rishal Aggarwal, Daniel Penaherrera, Justin Shao et al.
ICLR 2025
Parallelizing MCMC Across the Sequence Length
David Zoltowski, Skyler Wu, Xavier Gonzalez et al.
NEURIPS 2025arXiv:2508.18413
3
citations
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
Wei Guo, Molei Tao, Yongxin Chen
ICLR 2025arXiv:2407.16936
19
citations
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions
Jhanvi Garg, Krishnakumar Balasubramanian, Quan Zhou
NEURIPS 2025arXiv:2505.15059
2
citations
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin
Fangyikang Wang, Hubery Yin, Lei Qian et al.
ICCV 2025arXiv:2505.24222
3
citations
Ai-sampler: Adversarial Learning of Markov kernels with involutive maps
Evgenii Egorov, Riccardo Valperga, Efstratios Gavves
ICML 2024arXiv:2406.02490
1
citations
Debiased Distribution Compression
Lingxiao Li, Raaz Dwivedi, Lester Mackey
ICML 2024arXiv:2404.12290
4
citations
Diffusive Gibbs Sampling
Wenlin Chen, Mingtian Zhang, Brooks Paige et al.
ICML 2024arXiv:2402.03008
17
citations
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman et al.
ICML 2024arXiv:2404.10575
2
citations
Graph Neural Networks with a Distribution of Parametrized Graphs
See Hian Lee, Feng Ji, Kelin Xia et al.
ICML 2024arXiv:2310.16401
1
citations
Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
Philip Schär, Michael Habeck, Daniel Rudolf
ICML 2024arXiv:2401.16567
2
citations