Discrete Langevin Sampler via Wasserstein Gradient Flow

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Discrete Langevin Sampler via Wasserstein Gradient Flow

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022

29 June 2022

Dale Schuurmans

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Papers citing "Discrete Langevin Sampler via Wasserstein Gradient Flow"

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Title
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs Jie Hu Yi-Ting Ma Do Young Eun 269 0 0 23 May 2025
Discrete Neural Flow Samplers with Locally Equivariant Transformer Chinmay Pani Ruixiang Zhang Yingzhen Li 126 4 0 23 May 2025
Learning with Local Search MCMC Layers Germain Vivier-Ardisson Mathieu Blondel Axel Parmentier 186 0 0 20 May 2025
Entropy-Guided Sampling of Flat Modes in Discrete Spaces Pinaki Mohanty Riddhiman Bhattacharya Ruqi Zhang 777 0 0 05 May 2025
Reheated Gradient-based Discrete Sampling for Combinatorial Optimization Muheng Li Ruqi Zhang 179 4 0 06 Mar 2025
Enhancing Gradient-based Discrete Sampling via Parallel Tempering Luxu Liang Yuhang Jia Feng Zhou 280 0 0 26 Feb 2025
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi F. Chen Shaul Druckmann Lester W. Mackey Scott W. Linderman 321 26 0 30 Jul 2024
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling Patrick Pynadath Riddhiman Bhattacharya Arun Hariharan Ruqi Zhang 109 7 0 27 Feb 2024
Entropic Matching for Expectation Propagation of Markov Jump ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Bastian Alt Heinz Koeppl Heinz Koeppl 247 2 0 27 Sep 2023
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC Patrick Emami Aidan Perreault Jeffrey N. Law David J. Biagioni Peter C. St. John 133 18 0 20 Dec 2022
Particle algorithms for maximum likelihood training of latent variable modelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Juan Kuntz Jen Ning Lim A. M. Johansen FedML 244 29 0 27 Apr 2022

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