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Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization

14 November 2022

Tianyi Chen

Papers citing "Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization"

40 / 40 papers shown

Title
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 66 9 0 21 Jul 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang 66 45 0 22 Jun 2022
A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences Han Shen Tianyi Chen 98 15 0 21 Jun 2022
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems Lucy L. Gao J. Ye Haian Yin Shangzhi Zeng Jin Zhang 76 24 0 13 Jun 2022
Will Bilevel Optimizers Benefit from Loops Kaiyi Ji Mingrui Liu Yingbin Liang Lei Ying 88 41 0 27 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 84 75 0 04 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction Junyi Li Feihu Huang Heng-Chiao Huang FedML 79 27 0 03 May 2022
A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization Ziyi Chen B. Kailkhura Yi Zhou 69 9 0 30 Mar 2022
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies Stephen Gould Dylan Campbell Itzik Ben-Shabat Chamin Pasidu Hewa Koneputugodage Zhiwei Xu 119 8 0 24 Feb 2022
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! Konstantin Mishchenko Grigory Malinovsky Sebastian U. Stich Peter Richtárik 51 154 0 18 Feb 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 56 68 0 04 Jan 2022
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse Junyi Li Bin Gu Heng-Chiao Huang 74 74 0 09 Dec 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 99 83 0 01 Oct 2021
Provably Faster Algorithms for Bilevel Optimization Junjie Yang Kaiyi Ji Yingbin Liang 90 136 0 08 Jun 2021
Nonsmooth Implicit Differentiation for Machine Learning and Optimization Jérôme Bolte Tam Le Edouard Pauwels Antonio Silveti-Falls 72 56 0 08 Jun 2021
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning Quentin Bertrand Quentin Klopfenstein Mathurin Massias Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 95 28 0 04 May 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 97 96 0 02 Mar 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum Prashant Khanduri Siliang Zeng Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 72 132 0 15 Feb 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 103 160 0 14 Feb 2021
A Single-Timescale Method for Stochastic Bilevel Optimization Tianyi Chen Yuejiao Sun Quan-Wu Xiao W. Yin 69 79 0 09 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 143 229 0 27 Jan 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang Minghong Fang Jia Liu FedML 69 261 0 27 Jan 2021
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 207 261 0 15 Oct 2020
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 79 140 0 10 Jul 2020
On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi Luca Franceschi Massimiliano Pontil Saverio Salzo 110 197 0 29 Jun 2020
Is Local SGD Better than Minibatch SGD? Blake E. Woodworth Kumar Kshitij Patel Sebastian U. Stich Zhen Dai Brian Bullins H. B. McMahan Ohad Shamir Nathan Srebro FedML 76 254 0 18 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 275 6,294 0 10 Dec 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 128 416 0 06 Nov 2019
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu Sen Yang Shenghuo Zhu MoMe FedML 79 609 0 17 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 206 4,368 0 24 Jun 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
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 70 132 0 30 May 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 187 1,070 0 24 May 2018
Stochastic model-based minimization of weakly convex functions Damek Davis Dmitriy Drusvyatskiy 80 377 0 17 Mar 2018
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications Ankur Sinha P. Malo Kalyanmoy Deb 46 760 0 17 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,952 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 220 417 0 06 Mar 2017
On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization Stephen Gould Basura Fernando A. Cherian Peter Anderson Rodrigo Santa Cruz Edison Guo 61 226 0 19 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,615 0 17 Feb 2016
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 232 946 0 11 Feb 2015