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Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems
Mathematics of Operations Research (MOR), 2023
8 January 2023
Quoc Tran-Dinh
Yang Luo
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Papers citing
"Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems"
29 / 29 papers shown
Stochastic Halpern iteration in normed spaces and applications to reinforcement learning
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445
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Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity
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Stephen J. Wright
386
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Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
International Conference on Learning Representations (ICLR), 2023
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Ahmet Alacaoglu
Jelena Diakonikolas
437
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0
04 Oct 2023
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
International Conference on Learning Representations (ICLR), 2023
Thomas Pethick
P. Latafat
Panagiotis Patrinos
Olivier Fercoq
Volkan Cevher
330
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0
20 Feb 2023
Extragradient-Type Methods with
O
(
1
/
k
)
\mathcal{O} (1/k)
O
(
1/
k
)
Last-Iterate Convergence Rates for Co-Hypomonotone Inclusions
Journal of Global Optimization (JGO), 2023
Quoc Tran-Dinh
425
6
0
08 Feb 2023
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
International Conference on Machine Learning (ICML), 2022
Davoud Ataee Tarzanagh
Mingchen Li
Christos Thrampoulidis
Samet Oymak
FedML
467
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04 May 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
International Conference on Machine Learning (ICML), 2022
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
421
61
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09 Mar 2022
Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions
Quoc Tran-Dinh
Yang Luo
303
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0
15 Oct 2021
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
Neural Information Processing Systems (NeurIPS), 2021
Quoc Tran-Dinh
Nhan H. Pham
Dzung Phan
Lam M. Nguyen
FedML
491
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05 Mar 2021
Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation
Georgios Kotsalis
Guanghui Lan
Tianjiao Li
493
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05 Nov 2020
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Jelena Diakonikolas
C. Daskalakis
Sai Li
417
168
0
31 Oct 2020
Fairness-aware Agnostic Federated Learning
SDM (SDM), 2020
Wei Du
Depeng Xu
Xintao Wu
Hanghang Tong
FedML
306
159
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10 Oct 2020
A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs
Journal of machine learning research (JMLR), 2020
R. Boț
Michael Sedlmayer
P. Vuong
212
43
0
17 Mar 2020
A New Randomized Primal-Dual Algorithm for Convex Optimization with Optimal Last Iterate Rates
Quoc Tran-Dinh
Deyi Liu
423
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0
03 Mar 2020
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities
Annual Conference Computational Learning Theory (COLT), 2020
Jelena Diakonikolas
324
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20 Feb 2020
Advances and Open Problems in Federated Learning
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H. B. McMahan
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Han Yu
Sen Zhao
FedML
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Federated Learning: Challenges, Methods, and Future Directions
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Anit Kumar Sahu
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Virginia Smith
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A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach
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473
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24 Jan 2019
Federated Optimization in Heterogeneous Networks
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Anit Kumar Sahu
Manzil Zaheer
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Volkan Cevher
246
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09 Nov 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
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Optimization Methods for Large-Scale Machine Learning
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ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
SIAM Journal on Scientific Computing (SISC), 2015
Zhimin Peng
Yangyang Xu
Ming Yan
W. Yin
577
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08 Jun 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Neural Information Processing Systems (NeurIPS), 2014
Aaron Defazio
Francis R. Bach
Damien Scieur
ODL
912
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01 Jul 2014
Accelerated, Parallel and Proximal Coordinate Descent
SIAM Journal on Optimization (SIAM J. Optim.), 2013
Olivier Fercoq
Peter Richtárik
398
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Parallel Coordinate Descent Methods for Big Data Optimization
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