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Efficient constrained sampling via the mirror-Langevin algorithm

30 October 2020

Papers citing "Efficient constrained sampling via the mirror-Langevin algorithm"

43 / 43 papers shown

Title
Accelerating Constrained Sampling: A Large Deviations Approach Yingli Wang Changwei Tu Xiaoyu Wang Lingjiong Zhu 18 0 0 09 Jun 2025
Bregman Centroid Guided Cross-Entropy Method Yuliang Gu H. Cao Marco Caccamo N. Hovakimyan 24 0 0 02 Jun 2025
Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling Matthieu Blanke Yongquan Qu Sara Shamekh Pierre Gentine DiffM 53 0 0 23 May 2025
Mirror Mean-Field Langevin Dynamics Anming Gu Juno Kim 68 1 0 05 May 2025
Accelerating Langevin Monte Carlo Sampling: A Large Deviations Analysis Nian Yao Pervez Ali Xihua Tao Lingjiong Zhu 75 1 0 24 Mar 2025
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems Teresa Klatzer Savvas Melidonis Marcelo Pereyra K. Zygalakis 72 0 0 20 Mar 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo Luiz F. O. Chamon Mohammad Reza Karimi Anna Korba 89 3 0 08 Jan 2025
Functional Gradient Flows for Constrained Sampling Shiyue Zhang Longlin Yu Ziheng Cheng Cheng Zhang 56 0 0 30 Oct 2024
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling Matthew Burns Qingyuan Hou Michael Huang 448 1 0 08 Oct 2024
Rényi-infinity constrained sampling with $d^3$ membership queries Yunbum Kook Matthew Shunshi Zhang 68 1 0 17 Jul 2024
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics Haoyang Zheng Hengrong Du Qi Feng Wei Deng Guang Lin 65 5 0 13 May 2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies Yunbum Kook Santosh Vempala Matthew Shunshi Zhang 82 8 0 02 May 2024
Efficient Sampling on Riemannian Manifolds via Langevin MCMC Xiang Cheng J.N. Zhang S. Sra 81 7 0 15 Feb 2024
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm Vishwak Srinivasan Andre Wibisono Ashia Wilson 70 7 0 14 Dec 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 77 23 0 02 Oct 2023
Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm Nabarun Deb Young-Heon Kim Soumik Pal Geoffrey Schiebinger 66 12 0 31 Jul 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms Tim Tsz-Kit Lau Han Liu Thomas Pock 97 4 0 25 May 2023
Learning Rate Free Sampling in Constrained Domains Louis Sharrock Lester W. Mackey Christopher Nemeth 78 2 0 24 May 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Michael Diao Krishnakumar Balasubramanian Sinho Chewi Adil Salim BDL 68 29 0 10 Apr 2023
Query lower bounds for log-concave sampling Sinho Chewi Jaume de Dios Pont Jerry Li Chen Lu Shyam Narayanan 95 8 0 05 Apr 2023
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling Ye He Tyler Farghly Krishnakumar Balasubramanian Murat A. Erdogdu 86 4 0 01 Mar 2023
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler Sivakanth Gopi Y. Lee Daogao Liu Ruoqi Shen Kevin Tian 93 7 0 13 Feb 2023
A Dynamical System View of Langevin-Based Non-Convex Sampling Mohammad Reza Karimi Ya-Ping Hsieh Andreas Krause 78 4 0 25 Oct 2022
Sampling with Mollified Interaction Energy Descent Lingxiao Li Qiang Liu Anna Korba Mikhail Yurochkin Justin Solomon 70 17 0 24 Oct 2022
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling Jason M. Altschuler Kunal Talwar 96 25 0 16 Oct 2022
Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators Yunbum Kook Y. Lee Ruoqi Shen Santosh Vempala 88 12 0 13 Oct 2022
Sampling Constrained Continuous Probability Distributions: A Review Shiwei Lan Lulu Kang 43 6 0 26 Sep 2022
$A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent$ A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent Dai Hai Nguyen Tetsuya Sakurai 67 2 0 01 Aug 2022
Private Convex Optimization in General Norms Sivakanth Gopi Y. Lee Daogao Liu Ruoqi Shen Kevin Tian 63 15 0 18 Jul 2022
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes Tim Tsz-Kit Lau Han Liu 127 7 0 10 Jul 2022
Bregman Power k-Means for Clustering Exponential Family Data Adithya Vellal Saptarshi Chakraborty Jason Xu 61 6 0 22 Jun 2022
A Note on the Convergence of Mirrored Stein Variational Gradient Descent under $(L_0,L_1)-$ Smoothness Condition Lukang Sun Peter Richtárik 96 5 0 20 Jun 2022
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition Lukang Sun Avetik G. Karagulyan Peter Richtárik 81 19 0 01 Jun 2022
Constrained Langevin Algorithms with L-mixing External Random Variables Yu Zheng Andrew G. Lamperski 78 6 0 27 May 2022
Particle algorithms for maximum likelihood training of latent variable models Juan Kuntz Jen Ning Lim A. M. Johansen FedML 109 23 0 27 Apr 2022
Convergence of the Riemannian Langevin Algorithm Khashayar Gatmiry Santosh Vempala 67 21 0 22 Apr 2022
Improved analysis for a proximal algorithm for sampling Yongxin Chen Sinho Chewi Adil Salim Andre Wibisono 105 58 0 13 Feb 2022
The entropic barrier is $n$ -self-concordant Sinho Chewi MDE 44 12 0 21 Dec 2021
The Mirror Langevin Algorithm Converges with Vanishing Bias Ruilin Li Molei Tao Santosh Vempala Andre Wibisono 98 37 0 24 Sep 2021
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 119 19 0 23 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 121 40 0 16 Jun 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent Jason M. Altschuler Sinho Chewi P. Gerber Austin J. Stromme 84 37 0 16 Jun 2021
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning Andrew G. Lamperski 34 28 0 22 Dec 2020