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Analysis of Langevin Monte Carlo via convex optimization

26 February 2018

Papers citing "Analysis of Langevin Monte Carlo via convex optimization"

50 / 157 papers shown

Title
Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality Andre Wibisono 120 1 0 01 Jul 2025
Noise Conditional Variational Score Distillation Xinyu Peng Ziyang Zheng Yaoming Wang Han Li Nuowen Kan Wenrui Dai Chenglin Li Junni Zou Hongkai Xiong DiffM 99 0 0 11 Jun 2025
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows Francesca R. Crucinio Sahani Pathiraja 48 0 0 06 Jun 2025
Privacy Amplification Through Synthetic Data: Insights from Linear Regression Clément Pierquin A. Bellet Marc Tommasi Matthieu Boussard MIACV 105 0 0 05 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
Operator-Level Quantum Acceleration of Non-Logconcave Sampling Jiaqi Leng Zhiyan Ding Zherui Chen Lin Lin 97 1 0 08 May 2025
Beyond Propagation of Chaos: A Stochastic Algorithm for Mean Field Optimization Chandan Tankala Dheeraj M. Nagaraj Anant Raj 67 1 0 17 Mar 2025
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper] Andreas Habring Alexander Falk Thomas Pock 106 0 0 03 Feb 2025
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity Shuailong Zhu Xiaohui Chen 106 0 0 25 Jan 2025
Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions Shang Wu Yazhen Wang 104 0 0 11 Jan 2025
Non-geodesically-convex optimization in the Wasserstein space Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Petrus Mikkola Marcelo Hartmann Kai Puolamaki Arto Klami 124 2 0 08 Jan 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo Luiz F. O. Chamon Mohammad Reza Karimi Anna Korba 82 3 0 08 Jan 2025
A Proximal Newton Adaptive Importance Sampler Victor Elvira Émilie Chouzenoux O. Deniz Akyildiz 171 0 0 21 Dec 2024
Covariance estimation using Markov chain Monte Carlo Yunbum Kook Matthew Shunshi Zhang 57 1 0 22 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 153 4 0 13 Oct 2024
Rényi-infinity constrained sampling with $d^3$ membership queries Yunbum Kook Matthew Shunshi Zhang 63 1 0 17 Jul 2024
Kinetic Interacting Particle Langevin Monte Carlo Paul Felix Valsecchi Oliva O. Deniz Akyildiz 110 6 0 08 Jul 2024
Proximal Interacting Particle Langevin Algorithms Paula Cordero Encinar F. R. Crucinio O. Deniz Akyildiz 104 5 0 20 Jun 2024
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling Haque Ishfaq Yixin Tan Yu Yang Qingfeng Lan Jianfeng Lu A. Rupam Mahmood Doina Precup Pan Xu 89 5 0 18 Jun 2024
Convergence rates of particle approximation of forward-backward splitting algorithm for granular medium equations Matej Benko Iwona Chlebicka Jorgen Endal B. Miasojedow 89 1 0 28 May 2024
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models S. Kandasamy Dheeraj M. Nagaraj DiffM 71 3 0 27 May 2024
Faster Sampling via Stochastic Gradient Proximal Sampler Xunpeng Huang Difan Zou Yian Ma Hanze Dong Tong Zhang 91 3 0 27 May 2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies Yunbum Kook Santosh Vempala Matthew Shunshi Zhang 82 8 0 02 May 2024
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport Manuel Arnese Daniel Lacker 46 11 0 12 Apr 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 95 1 0 08 Apr 2024
Proximal Oracles for Optimization and Sampling Jiaming Liang Yongxin Chen 89 3 0 02 Apr 2024
An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling Xunpeng Huang Hanze Dong Difan Zou Tong Zhang 67 0 0 10 Mar 2024
Parallelized Midpoint Randomization for Langevin Monte Carlo Lu Yu A. Dalalyan 75 7 0 22 Feb 2024
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling Elhadji C. Faye Mame Diarra Fall N. Dobigeon 76 4 0 19 Feb 2024
Optimal score estimation via empirical Bayes smoothing Andre Wibisono Yihong Wu Kaylee Yingxi Yang 86 27 0 12 Feb 2024
Sampling from the Mean-Field Stationary Distribution Yunbum Kook Matthew Shunshi Zhang Sinho Chewi Murat A. Erdogdu Mufan Li 120 7 0 12 Feb 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 154 15 0 08 Feb 2024
An approximate operator-based learning method for the numerical solutions of stochastic differential equations Jingyuan Li Wei Liu 53 0 0 13 Dec 2023
A connection between Tempering and Entropic Mirror Descent Nicolas Chopin F. R. Crucinio Anna Korba 58 14 0 18 Oct 2023
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting Aleksei Ustimenko Aleksandr Beznosikov 82 1 0 09 Oct 2023
Sampling via Gradient Flows in the Space of Probability Measures Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 66 15 0 05 Oct 2023
Subgradient Langevin Methods for Sampling from Non-smooth Potentials Andreas Habring M. Holler Thomas Pock 69 8 0 02 Aug 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
Proximal Langevin Sampling With Inexact Proximal Mapping Matthias Joachim Ehrhardt Lorenz Kuger Carola-Bibiane Schönlieb 59 6 0 30 Jun 2023
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions Xiang Cheng Bohan Wang J.N. Zhang Yusong Zhu 78 6 0 18 Jun 2023
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators Benedict Leimkuhler Daniel Paulin Peter Whalley 68 6 0 14 Jun 2023
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited Lu Yu Avetik G. Karagulyan A. Dalalyan 65 7 0 14 Jun 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms Tim Tsz-Kit Lau Han Liu Thomas Pock 88 4 0 25 May 2023
Learning Rate Free Sampling in Constrained Domains Louis Sharrock Lester W. Mackey Christopher Nemeth 69 2 0 24 May 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 60 4 0 17 Apr 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
Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials Ziruo Cai Jinglai Li Xiaoqun Zhang 26 1 0 10 Apr 2023
Query lower bounds for log-concave sampling Sinho Chewi Jaume de Dios Pont Jerry Li Chen Lu Shyam Narayanan 88 8 0 05 Apr 2023
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models Anant Raj Umut Simsekli Alessandro Rudi DiffM 105 2 0 30 Mar 2023
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation Ö. Deniz Akyildiz F. R. Crucinio Mark Girolami Tim Johnston Sotirios Sabanis 132 13 0 23 Mar 2023