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Langevin Monte Carlo without smoothness

30 May 2019

Niladri S. Chatterji

Papers citing "Langevin Monte Carlo without smoothness"

26 / 26 papers shown

Title
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version M. Corbineau Denis Kouamé Émilie Chouzenoux J. Tourneret J. Pesquet 55 15 0 19 Mar 2019
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference Abhishek Roy Lingqing Shen Krishnakumar Balasubramanian Saeed Ghadimi 82 6 0 04 Feb 2019
Algorithmic Theory of ODEs and Sampling from Well-conditioned Logconcave Densities Y. Lee Zhao Song Santosh Vempala 76 37 0 15 Dec 2018
Sharp convergence rates for Langevin dynamics in the nonconvex setting Xiang Cheng Niladri S. Chatterji Yasin Abbasi-Yadkori Peter L. Bartlett Michael I. Jordan 52 166 0 04 May 2018
Coupling and Convergence for Hamiltonian Monte Carlo Nawaf Bou-Rabee A. Eberle Raphael Zimmer 110 138 0 01 May 2018
Graph-based regularization for regression problems with alignment and highly-correlated designs Yuan Li Benjamin Mark Garvesh Raskutti Rebecca Willett Hyebin Song David Neiman 40 23 0 20 Mar 2018
Mirrored Langevin Dynamics Ya-Ping Hsieh Ali Kavis Paul Rolland Volkan Cevher 76 85 0 27 Feb 2018
Analysis of Langevin Monte Carlo via convex optimization Alain Durmus Szymon Majewski B. Miasojedow 64 222 0 26 Feb 2018
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo Oren Mangoubi Nisheeth K. Vishnoi 125 53 0 24 Feb 2018
An Alternative View: When Does SGD Escape Local Minima? Robert D. Kleinberg Yuanzhi Li Yang Yuan MLT 77 317 0 17 Feb 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast Raaz Dwivedi Yuansi Chen Martin J. Wainwright Bin Yu 66 255 0 08 Jan 2018
Fast MCMC sampling algorithms on polytopes Yuansi Chen Raaz Dwivedi Martin J. Wainwright Bin Yu 37 68 0 23 Oct 2017
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient A. Dalalyan Avetik G. Karagulyan 75 297 0 29 Sep 2017
Rapid Mixing of Hamiltonian Monte Carlo on Strongly Log-Concave Distributions Oren Mangoubi Aaron Smith 109 106 0 23 Aug 2017
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 81 205 0 20 Jul 2017
Underdamped Langevin MCMC: A non-asymptotic analysis Xiang Cheng Niladri S. Chatterji Peter L. Bartlett Michael I. Jordan 89 301 0 12 Jul 2017
Convergence of Langevin MCMC in KL-divergence Xiang Cheng Peter L. Bartlett 58 194 0 25 May 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics Yuchen Zhang Percy Liang Moses Charikar 67 236 0 18 Feb 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 73 521 0 13 Feb 2017
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau Alain Durmus Eric Moulines Marcelo Pereyra 65 176 0 22 Dec 2016
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 93 356 0 05 May 2016
A Moreau-Yosida approximation scheme for a class of high-dimensional posterior distributions Yves F. Atchadé 65 11 0 26 May 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 83 516 0 23 Dec 2014
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 153 576 0 08 Dec 2012
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,282 0 09 Jun 2012
Randomized Smoothing for Stochastic Optimization John C. Duchi Peter L. Bartlett Martin J. Wainwright 104 288 0 22 Mar 2011