A Distributed Algorithm for Measure-valued Optimization with Additive Objective

17 February 2022

Papers citing "A Distributed Algorithm for Measure-valued Optimization with Additive Objective"

6 / 6 papers shown

Title
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 80 57 0 01 Jun 2021
Variational Policy Gradient Method for Reinforcement Learning with General Utilities Junyu Zhang Alec Koppel Amrit Singh Bedi Csaba Szepesvári Mengdi Wang 64 140 0 04 Jul 2020
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices Santosh Vempala Andre Wibisono 87 269 0 20 Mar 2019
Mean Field Analysis of Neural Networks: A Central Limit Theorem Justin A. Sirignano K. Spiliopoulos MLT 75 194 0 28 Aug 2018
Policy Optimization as Wasserstein Gradient Flows Ruiyi Zhang Changyou Chen Chunyuan Li Lawrence Carin 68 68 0 09 Aug 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks Song Mei Andrea Montanari Phan-Minh Nguyen MLT 95 858 0 18 Apr 2018