Accelerating Stochastic Composition Optimization

25 July 2016

Papers citing "Accelerating Stochastic Composition Optimization"

33 / 33 papers shown

Title
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 45 0 0 21 Nov 2023
Federated Multi-Level Optimization over Decentralized Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang AI4CE 28 0 0 10 Oct 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 35 2 0 01 Aug 2023
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms Minghao Yang Xiyuan Wei Tianbao Yang Yiming Ying 50 1 0 07 Jul 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 36 0 0 02 Jun 2023
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang Gang Li Yibo Wang Lijun Zhang Tianbao Yang 37 16 0 18 Jul 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang 40 42 0 22 Jun 2022
A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences Han Shen Tianyi Chen 54 15 0 21 Jun 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 46 73 0 04 May 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization Wei Jiang Bokun Wang Yibo Wang Lijun Zhang Tianbao Yang 81 17 0 15 Feb 2022
A Novel Convergence Analysis for Algorithms of the Adam Family Zhishuai Guo Yi Tian Xu W. Yin Rong Jin Tianbao Yang 39 48 0 07 Dec 2021
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic Weicong Ding Hanlin Tang Jingshuo Feng Lei Yuan Sen Yang ... Dongying Kong Kai Ren Peng Jiang Qiao Lian Ji Liu 44 1 0 20 Aug 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization Guanghui Wang Minghao Yang Lijun Zhang Tianbao Yang 41 22 0 02 Jul 2021
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems Tianyi Chen Yuejiao Sun W. Yin 26 33 0 25 Jun 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 18 59 0 18 Apr 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 85 6 0 15 Jan 2021
Stochastic Compositional Gradient Descent under Compositional Constraints Srujan Teja Thomdapu Harsh Vardhan K. Rajawat 21 12 0 17 Dec 2020
Optimal Algorithms for Convex Nested Stochastic Composite Optimization Zhe Zhang Guanghui Lan 32 28 0 19 Nov 2020
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 48 81 0 25 Aug 2020
An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives Qi Qi Zhishuai Guo Yi Tian Xu Rong Jin Tianbao Yang 33 44 0 17 Jun 2020
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning Mert Gurbuzbalaban A. Ruszczynski Landi Zhu 26 9 0 08 Jun 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning Yifan Hu Siqi Zhang Xin Chen Niao He ODL 41 55 0 25 Feb 2020
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization Quoc Tran-Dinh Nhan H. Pham Lam M. Nguyen 27 22 0 17 Feb 2020
Compositional ADAM: An Adaptive Compositional Solver Rasul Tutunov Minne Li Alexander I. Cowen-Rivers Jun Wang Haitham Bou-Ammar ODL 59 16 0 10 Feb 2020
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization Yibo Xu Yangyang Xu 79 13 0 24 Oct 2019
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization Adithya M. Devraj Jianshu Chen 27 13 0 22 Jul 2019
Asynchronous Stochastic Composition Optimization with Variance Reduction Shuheng Shen Linli Xu Jingchang Liu Junliang Guo Qing Ling 27 2 0 15 Nov 2018
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization Zhouyuan Huo Bin Gu Ji Liu Heng-Chiao Huang 43 50 0 10 Nov 2017
Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization Yue Yu Longbo Huang 29 33 0 11 May 2017
Stochastic Methods for Composite and Weakly Convex Optimization Problems John C. Duchi Feng Ruan 15 126 0 24 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,205 0 16 Aug 2016
Learning from Conditional Distributions via Dual Embeddings Bo Dai Niao He Yunpeng Pan Byron Boots Le Song 35 21 0 15 Jul 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 104 572 0 08 Dec 2012