The promises and pitfalls of Stochastic Gradient Langevin Dynamics

Type: Preprint

Publication Date: 2018-01-01

Citations: 33

DOI: https://doi.org/10.48550/arxiv.1811.10072

Locations

  • arXiv (Cornell University) - View
  • HAL (Le Centre pour la Communication Scientifique Directe) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ The promises and pitfalls of Stochastic Gradient Langevin Dynamics. 2018 Nicolas Brosse
Alain Durmus
Éric Moulines
+ PDF Chat No Free Lunch for Stochastic Gradient Langevin Dynamics 2024 Natesh S. Pillai
Aaron Smith
A. Zaman
+ Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts 2020 Sehwan Kim
Qifan Song
Faming Liang
+ (Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics 2015 Sebastian J. Vollmer
Konstantinos C. Zygalakis
and Yee Whye Teh
+ Exploration of the (non-)asymptotic bias and variance of stochastic gradient langevin dynamics 2016 Sebastian J. Vollmer
Konstantinos C. Zygalakis
Yee Whye Teh
+ PDF Chat Robust Approximate Sampling via Stochastic Gradient Barker Dynamics 2024 Lorenzo Mauri
Giacomo Zanella
+ Stochastic Approximate Gradient Descent via the Langevin Algorithm 2020 Yixuan Qiu
Xiao Wang
+ PDF Chat Stochastic Approximate Gradient Descent via the Langevin Algorithm 2020 Yixuan Qiu
Xiao Wang
+ Consistency and fluctuations for stochastic gradient Langevin dynamics 2016 Yee Whye Teh
Alexandre H. Thiéry
Sebastian J. Vollmer
+ PDF Chat Hybrid deterministic-stochastic gradient Langevin dynamics for Bayesian learning 2012 Qi He
Jack Xin
+ The True Cost of Stochastic Gradient Langevin Dynamics 2017 Tigran Nagapetyan
A. Duncan
Leonard Hasenclever
Sebastian J. Vollmer
Łukasz Szpruch
Konstantinos C. Zygalakis
+ Variance Reduction in Stochastic Gradient Langevin Dynamics. 2016 Kumar Avinava Dubey
Sashank J. Reddi
Sinead A. Williamson
Barnabás Póczos
Alexander J. Smola
Eric P. Xing
+ Subsampling Error in Stochastic Gradient Langevin Diffusions 2023 Kexin Jin
Chenguang Liu
Jonas Latz
+ Preferential Subsampling for Stochastic Gradient Langevin Dynamics 2022 Srshti Putcha
Christopher Nemeth
Paul Fearnhead
+ PDF Chat Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo 2021 Bao Wang
Difan Zou
Quanquan Gu
Stanley Osher
+ Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo 2019 Bao Wang
Difan Zou
Quanquan Gu
Stanley Osher
+ On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators 2016 Changyou Chen
Nan Ding
Lawrence Carin
+ On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators 2016 Changyou Chen
Nan Ding
Lawrence Carin
+ Bayesian interpretation of SGD as Ito process 2019 Soma Yokoi
Issei Sato
+ PDF Chat Faster Sampling via Stochastic Gradient Proximal Sampler 2024 Xunpeng Huang
Difan Zou
Yi-An Ma
Hanze Dong
Tong Zhang

Works Cited by This (0)

Action Title Year Authors