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Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices

20 March 2019

Papers citing "Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices"

50 / 189 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
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows Francesca R. Crucinio Sahani Pathiraja 50 0 0 06 Jun 2025
Learning collective variables that preserve transition rates Shashank Sule Arnav Mehta Maria Cameron 43 0 0 02 Jun 2025
Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion Xunpeng Huang Yingyu Lin Nikki Lijing Kuang Hanze Dong Difan Zou Yian Ma Tong Zhang DiffM 34 0 0 28 May 2025
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions Jhanvi Garg Krishna Balasubramanian Quan Zhou 114 0 0 21 May 2025
Operator-Level Quantum Acceleration of Non-Logconcave Sampling Jiaqi Leng Zhiyan Ding Zherui Chen Lin Lin 97 1 0 08 May 2025
Mirror Mean-Field Langevin Dynamics Anming Gu Juno Kim 68 1 0 05 May 2025
Capturing Conditional Dependence via Auto-regressive Diffusion Models Xunpeng Huang Yujin Han Difan Zou Yian Ma Tong Zhang DiffM 104 0 0 30 Apr 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
Near-Polynomially Competitive Active Logistic Regression Yihan Zhou Eric Price Trung Nguyen 103 0 0 07 Mar 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 180 0 0 03 Mar 2025
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management Yi-Hu Feng Tianlin Li Tian Xie 112 0 0 26 Feb 2025
On the query complexity of sampling from non-log-concave distributions Yuchen He Chihao Zhang 112 1 0 10 Feb 2025
Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble Atsushi Nitanda Anzelle Lee Damian Tan Xing Kai Mizuki Sakaguchi Taiji Suzuki AI4CE 110 1 0 09 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
Constrained Sampling with Primal-Dual Langevin Monte Carlo Luiz F. O. Chamon Mohammad Reza Karimi Anna Korba 89 3 0 08 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 129 2 0 08 Jan 2025
Sampling with Adaptive Variance for Multimodal Distributions Bjorn Engquist Kui Ren Yunan Yang 118 1 0 20 Nov 2024
Sampling and Integration of Logconcave Functions by Algorithmic Diffusion Yunbum Kook Santosh Vempala 64 1 0 20 Nov 2024
Training Neural Samplers with Reverse Diffusive KL Divergence Wenlin Chen Jiajun He Mingtian Zhang David Barber José Miguel Hernández-Lobato DiffM 126 8 0 16 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 160 4 0 13 Oct 2024
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling Matthew Burns Qingyuan Hou Michael Huang 448 1 0 08 Oct 2024
A noise-corrected Langevin algorithm and sampling by half-denoising Aapo Hyvärinen DiffM 100 1 0 08 Oct 2024
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space Yangming Li Chieh-Hsin Lai Carola-Bibiane Schönlieb Yuki Mitsufuji Stefano Ermon DiffM 65 0 0 02 Oct 2024
Thermodynamic Bayesian Inference Maxwell Aifer Samuel Duffield Kaelan Donatella Denis Melanson Phoebe Klett Zach Belateche Gavin Crooks Antonio J. Martinez Patrick J. Coles 69 4 0 02 Oct 2024
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent Sayan Banerjee Krishnakumar Balasubramanian Promit Ghosal 90 4 0 13 Sep 2024
Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals Fuqun Han Stanley Osher Wuchen Li 67 1 0 03 Sep 2024
Plug-in estimation of Schrödinger bridges Aram-Alexandre Pooladian Jonathan Niles-Weed DiffM OT 70 2 0 21 Aug 2024
Rényi-infinity constrained sampling with $d^3$ membership queries Yunbum Kook Matthew Shunshi Zhang 68 1 0 17 Jul 2024
Hidden State Differential Private Mini-Batch Block Coordinate Descent for Multi-convexity Optimization Ding Chen Chen Liu FedML 79 0 0 11 Jul 2024
Kinetic Interacting Particle Langevin Monte Carlo Paul Felix Valsecchi Oliva O. Deniz Akyildiz 110 6 0 08 Jul 2024
A Practical Diffusion Path for Sampling Omar Chehab Anna Korba DiffM 73 1 0 20 Jun 2024
Proximal Interacting Particle Langevin Algorithms Paula Cordero Encinar F. R. Crucinio O. Deniz Akyildiz 107 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
Long-time asymptotics of noisy SVGD outside the population limit Victor Priser Pascal Bianchi Adil Salim 72 1 0 17 Jun 2024
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models Benjamin Biggs Arjun Seshadri Yang Zou Achin Jain Aditya Golatkar Yusheng Xie Alessandro Achille Ashwin Swaminathan Stefano Soatto MoMe DiffM 92 13 0 12 Jun 2024
On the Hardness of Sampling from Mixture Distributions via Langevin Dynamics Xiwei Cheng Kexin Fu Farzan Farnia 109 0 0 04 Jun 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors Zihui Wu Yu Sun Yifan Chen Bingliang Zhang Yisong Yue Katherine Bouman DiffM 111 33 0 29 May 2024
Tamed Langevin sampling under weaker conditions Iosif Lytras P. Mertikopoulos 88 3 0 27 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 96 3 0 27 May 2024
Hierarchic Flows to Estimate and Sample High-dimensional Probabilities Etienne Lempereur Stéphane Mallat 78 1 0 06 May 2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies Yunbum Kook Santosh Vempala Matthew Shunshi Zhang 82 8 0 02 May 2024
CPR: Retrieval Augmented Generation for Copyright Protection Aditya Golatkar Alessandro Achille Luca Zancato Yu-Xiang Wang Ashwin Swaminathan Stefano Soatto DiffM 80 17 0 27 Mar 2024
An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling Xunpeng Huang Hanze Dong Difan Zou Tong Zhang 72 0 0 10 Mar 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion Ye He Kevin Rojas Molei Tao DiffM 116 11 0 27 Feb 2024
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities Fengyi Li Ayoub Belhadji Youssef Marzouk 60 2 0 23 Feb 2024
Parallelized Midpoint Randomization for Langevin Monte Carlo Lu Yu A. Dalalyan 75 7 0 22 Feb 2024
Optimal score estimation via empirical Bayes smoothing Andre Wibisono Yihong Wu Kaylee Yingxi Yang 86 27 0 12 Feb 2024