Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis

13 February 2017

Papers citing "Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis"

14 / 114 papers shown

Title
Continuous-time Models for Stochastic Optimization Algorithms Antonio Orvieto Aurelien Lucchi 13 31 0 05 Oct 2018
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory Jianyi Zhang Ruiyi Zhang Lawrence Carin Changyou Chen 12 46 0 05 Sep 2018
On sampling from a log-concave density using kinetic Langevin diffusions A. Dalalyan L. Riou-Durand 24 155 0 24 Jul 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 35 119 0 21 Jun 2018
Stochastic Nested Variance Reduction for Nonconvex Optimization Dongruo Zhou Pan Xu Quanquan Gu 25 146 0 20 Jun 2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC Tolga Birdal Umut Simsekli M. Eken Slobodan Ilic 22 38 0 31 May 2018
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision Sathya Ravi Tuan Dinh Vishnu Suresh Lokhande Vikas Singh AI4CE 33 22 0 17 Mar 2018
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem Andre Wibisono 21 177 0 22 Feb 2018
Stochastic Variance-Reduced Hamilton Monte Carlo Methods Difan Zou Pan Xu Quanquan Gu BDL 24 31 0 13 Feb 2018
On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li Changyou Chen Hao Liu Lawrence Carin 41 38 0 25 Dec 2017
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo Rong Ge Holden Lee Andrej Risteski 26 53 0 07 Oct 2017
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu Jinghui Chen Difan Zou Quanquan Gu 31 200 0 20 Jul 2017
Underdamped Langevin MCMC: A non-asymptotic analysis Xiang Cheng Niladri S. Chatterji Peter L. Bartlett Michael I. Jordan 36 293 0 12 Jul 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia C. Wilson Rebecca Roelofs Mitchell Stern Nathan Srebro Benjamin Recht ODL 20 1,012 0 23 May 2017