A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic Optimization

17 May 2024

Papers citing "A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic Optimization"

10 / 10 papers shown

Title
Constructing unbiased gradient estimators with finite variance for conditional stochastic optimization T. Goda Wataru Kitade 46 3 0 04 Jun 2022
Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates Krishnakumar Balasubramanian Saeed Ghadimi A. Nguyen 52 34 0 24 Aug 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning Yifan Hu Siqi Zhang Xin Chen Niao He ODL 92 56 0 25 Feb 2020
Provably Efficient Reinforcement Learning with Linear Function Approximation Chi Jin Zhuoran Yang Zhaoran Wang Michael I. Jordan 96 557 0 11 Jul 2019
Kernel Instrumental Variable Regression Rahul Singh M. Sahani Arthur Gretton 97 174 0 01 Jun 2019
Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization Yifan Hu Xin Chen Niao He 46 35 0 28 May 2019
Analysis of nonsmooth stochastic approximation: the differential inclusion approach Szymon Majewski B. Miasojedow Eric Moulines 46 49 0 04 May 2018
Uplift Modeling from Separate Labels Ikko Yamane Florian Yger Jamal Atif Masashi Sugiyama 44 21 0 14 Mar 2018
Accelerating Stochastic Composition Optimization Mengdi Wang Ji Liu Ethan X. Fang 59 148 0 25 Jul 2016
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 120 1,555 0 22 Sep 2013