A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions

19 October 2020

Papers citing "A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions"

28 / 28 papers shown

Title
Enhancing Gradient-based Discrete Sampling via Parallel Tempering Luxu Liang Yuhang Jia Feng Zhou 83 0 0 26 Feb 2025
SniffySquad: Patchiness-Aware Gas Source Localization with Multi-Robot Collaboration Yuhan Cheng Xuecheng Chen Yixuan Yang Haoyang Wang Jinfeng Xu Chaopeng Hong Susu Xu Xiao-Ping Zhang Yunhao Liu 61 0 0 09 Nov 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 91 3 0 13 Oct 2024
Interacting Contour Stochastic Gradient Langevin Dynamics Wei Deng Siqi Liang Botao Hao Guang Lin F. Liang BDL 59 10 0 20 Feb 2022
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction Wei Deng Qi Feng G. Karagiannis Guang Lin F. Liang 45 9 0 02 Oct 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC Wei Deng Qi Feng Liyao (Mars) Gao F. Liang Guang Lin BDL 21 45 0 12 Aug 2020
Stein Self-Repulsive Dynamics: Benefits From Past Samples Mao Ye Tongzheng Ren Qiang Liu 35 8 0 21 Feb 2020
An Adaptive Empirical Bayesian Method for Sparse Deep Learning Wei Deng Xiao Zhang F. Liang Guang Lin BDL 91 44 0 23 Oct 2019
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond Xuechen Li Denny Wu Lester W. Mackey Murat A. Erdogdu 36 71 0 19 Jun 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 59 275 0 11 Feb 2019
Global Non-convex Optimization with Discretized Diffusions Murat A. Erdogdu Lester W. Mackey Ohad Shamir 43 105 0 29 Oct 2018
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 72 3,614 0 16 Aug 2017
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 47 202 0 20 Jul 2017
Bayesian GAN Yunus Saatci A. Wilson GAN 38 133 0 26 May 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics Yuchen Zhang Percy Liang Moses Charikar 43 234 0 18 Feb 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 62 518 0 13 Feb 2017
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 51 159 0 21 Oct 2016
Stochastic Quasi-Newton Langevin Monte Carlo Umut Simsekli Roland Badeau A. Cemgil G. Richard BDL 33 61 0 10 Feb 2016
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks Chunyuan Li Changyou Chen David Carlson Lawrence Carin ODL BDL 69 325 0 23 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
A Complete Recipe for Stochastic Gradient MCMC Yian Ma Tianqi Chen E. Fox BDL SyDa 49 485 0 15 Jun 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 64 940 0 18 Feb 2015
Consistency and fluctuations for stochastic gradient Langevin dynamics Yee Whye Teh Alexandre Hoang Thiery Sebastian J. Vollmer 43 231 0 01 Sep 2014
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 71 906 0 17 Feb 2014
Convergence of the Wang-Landau algorithm G. Fort B. Jourdain E. Kuhn T. Lelièvre G. Stoltz 40 27 0 30 Jul 2012
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring S. Ahn Anoop Korattikara Balan Max Welling 62 305 0 27 Jun 2012
Convergence of adaptive and interacting Markov chain Monte Carlo algorithms G. Fort Eric Moulines P. Priouret 40 100 0 14 Mar 2012
Trajectory averaging for stochastic approximation MCMC algorithms F. Liang 78 17 0 11 Nov 2010