Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm

16 June 2020

Papers citing "Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm"

8 / 8 papers shown

Title
Proximal Oracles for Optimization and Sampling Jiaming Liang Yongxin Chen 44 3 0 02 Apr 2024
Query lower bounds for log-concave sampling Sinho Chewi Jaume de Dios Pont Jerry Li Chen Lu Shyam Narayanan 35 8 0 05 Apr 2023
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models Anant Raj Umut Simsekli Alessandro Rudi DiffM 31 1 0 30 Mar 2023
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling Jason M. Altschuler Kunal Talwar 38 24 0 16 Oct 2022
Nesterov smoothing for sampling without smoothness JiaoJiao Fan Bo Yuan Jiaming Liang Yongxin Chen 37 2 0 15 Aug 2022
A Proximal Algorithm for Sampling Jiaming Liang Yongxin Chen 30 17 0 28 Feb 2022
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 52 37 0 16 Jun 2021
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1 Adil Salim Lukang Sun Peter Richtárik 26 20 0 06 Jun 2021