Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic
Bilevel Optimization

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Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization

5 May 2021

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Papers citing "Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization"

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Title
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 124 5 0 18 Jun 2024
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 114 82 0 25 Aug 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang 58 131 0 07 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 92 56 0 25 Feb 2020
Lower Bounds for Non-Convex Stochastic Optimization Yossi Arjevani Y. Carmon John C. Duchi Dylan J. Foster Nathan Srebro Blake E. Woodworth 87 363 0 05 Dec 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 116 857 0 10 Sep 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 88 225 0 27 Aug 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction Junyu Zhang Lin Xiao 51 68 0 24 Jun 2019
Momentum-Based Variance Reduction in Non-Convex SGD Ashok Cutkosky Francesco Orabona ODL 86 410 0 24 May 2019
Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization Yi Zhou Zhe Wang Kaiyi Ji Yingbin Liang Vahid Tarokh ODL 67 14 0 07 Feb 2019
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 101 266 0 25 Oct 2018
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem Liu Liu Ji Liu Cho-Jui Hsieh Dacheng Tao 50 13 0 06 Sep 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator Cong Fang C. J. Li Zhouchen Lin Tong Zhang 95 579 0 04 Jul 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 179 732 0 13 Jun 2018
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization Zhouyuan Huo Bin Gu Ji Liu Heng-Chiao Huang 87 51 0 10 Nov 2017
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient Lam M. Nguyen Jie Liu K. Scheinberg Martin Takáč ODL 171 607 0 01 Mar 2017
Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions Mengdi Wang Ethan X. Fang Han Liu 96 264 0 14 Nov 2014