Improved Sample Complexity for Stochastic Compositional Variance Reduced
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Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient

1 June 2018

Michael I. Jordan

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Papers citing "Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient"

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Title
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 95 2 0 01 Aug 2023
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms Minghao Yang Xiyuan Wei Tianbao Yang Yiming Ying 101 1 0 07 Jul 2023
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization Feihu Huang FedML 75 1 0 03 Nov 2022
Riemannian Stochastic Gradient Method for Nested Composition Optimization Dewei Zhang S. Tajbakhsh 92 1 0 19 Jul 2022
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization Guanghui Wang Minghao Yang Lijun Zhang Tianbao Yang 83 22 0 02 Jul 2021
Compositional federated learning: Applications in distributionally robust averaging and meta learning Feihu Huang Junyi Li FedML 71 15 0 21 Jun 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 57 62 0 18 Apr 2021
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 139 82 0 25 Aug 2020
Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise Yan Yan Xin Man Tianbao Yang 11 0 0 17 Jun 2020
Compositional ADAM: An Adaptive Compositional Solver Rasul Tutunov Minne Li Alexander I. Cowen-Rivers Jun Wang Haitham Bou-Ammar ODL 103 16 0 10 Feb 2020
Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization Huizhuo Yuan Xiangru Lian Ji Liu 60 13 0 31 Dec 2019
Nonconvex Stochastic Nested Optimization via Stochastic ADMM Zhongruo Wang 34 2 0 12 Nov 2019
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization Yibo Xu Yangyang Xu 128 13 0 24 Oct 2019
Multi-Level Composite Stochastic Optimization via Nested Variance Reduction Junyu Zhang Lin Xiao 132 56 0 29 Aug 2019
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization Adithya M. Devraj Jianshu Chen 81 14 0 22 Jul 2019
Compositional Stochastic Average Gradient for Machine Learning and Related Applications Tsung-Yu Hsieh Y. El-Manzalawy Yiwei Sun Vasant Honavar 44 1 0 04 Sep 2018