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Robust Optimization over Multiple Domains

19 May 2018

Hao Li

Papers citing "Robust Optimization over Multiple Domains"

42 / 42 papers shown

Title
An Optimisation Framework for Unsupervised Environment Design Nathan Monette Alistair Letcher Michael Beukman Matthew Jackson Alexander Rutherford Alexander David Goldie Jakob N. Foerster 65 0 0 27 May 2025
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network Ya Liu Kai Yang Yu Zhu Keying Yang Haibo Zhao 66 0 0 14 May 2025
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining Daouda Sow Herbert Woisetschläger Saikiran Bulusu Shiqiang Wang Hans-Arno Jacobsen Yingbin Liang 139 6 0 10 Feb 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization Song Wang Xiaodong Yang Rashidul Islam Huiyuan Chen Minghua Xu Jundong Li Yiwei Cai OODD 262 3 0 07 Jan 2025
MLDGG: Meta-Learning for Domain Generalization on Graphs Q. Tian Chen Zhao Minglai Shao Wenjun Wang Yujie Lin Dong Li OOD AI4CE 153 1 0 19 Nov 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization Chengtao Jian Kai Yang Yang Jiao AI4TS 80 3 0 09 Oct 2024
Completely Parameter-Free Single-Loop Algorithms for Nonconvex-Concave Minimax Problems Junnan Yang Huiling Zhang Zi Xu 81 1 0 31 Jul 2024
Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence Yancheng Huang Kai Yang Zelin Zhu Leian Chen 77 0 0 03 May 2024
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization Xuxi Chen Zhendong Wang Daouda Sow Junjie Yang Tianlong Chen Yingbin Liang Mingyuan Zhou Zhangyang Wang 88 7 0 22 Feb 2024
Two trust region type algorithms for solving nonconvex-strongly concave minimax problems Tongliang Yao Zi Xu 76 2 0 15 Feb 2024
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints Hui-Li Zhang Zi Xu Yuhong Dai 89 1 0 26 Jan 2024
Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving $O(1/k)$ Finite-Sample Complexity Thinh T. Doan 98 7 0 23 Jan 2024
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 90 3 0 28 Dec 2023
Provably Convergent Federated Trilevel Learning Yang Jiao Kai Yang Tiancheng Wu Chen Jian Jianwei Huang FedML 80 4 0 19 Dec 2023
An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems Hui-Li Zhang Zi Xu ODL 87 0 0 24 Oct 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 100 2 0 01 Aug 2023
Topology-aware Robust Optimization for Out-of-distribution Generalization Fengchun Qiao Xi Peng 79 11 0 26 Jul 2023
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis Yang Jiao Kai Yang Dongjin Song 76 1 0 25 Jul 2023
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions Xuxing Chen Tesi Xiao Krishnakumar Balasubramanian 99 26 0 21 Jun 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 102 33 0 27 Mar 2023
Iterative Minimax Games with Coupled Linear Constraints Hui-Li Zhang Junlin Wang Zi Xu 207 4 0 09 Dec 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives Yang Jiao Kai Yang Dongjin Song 64 12 0 14 Oct 2022
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs Chaouki Ben Issaid Anis Elgabli M. Bennis FedML OOD 93 5 0 29 Aug 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 78 11 0 19 Jun 2022
Out-of-distribution Generalization with Causal Invariant Transformations Ruoyu Wang Mingyang Yi Zhitang Chen Shengyu Zhu OOD OODD 89 61 0 22 Mar 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization Yihua Zhang Guanhua Zhang Prashant Khanduri Min-Fong Hong Shiyu Chang Sijia Liu AAML 100 89 0 23 Dec 2021
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems Thinh T. Doan 98 16 0 17 Dec 2021
Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain Dmitrii Ostrovskii Babak Barazandeh Meisam Razaviyayn 85 12 0 08 Oct 2021
Federated Distributionally Robust Optimization for Phase Configuration of RISs Chaouki Ben Sumudu Issaid Mehdi Samarakoon Bennis H. Vincent 23 3 0 20 Aug 2021
Derivative-free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems Zi Xu Ziqi Wang Jingjing Shen Yuhong Dai 115 10 0 01 Aug 2021
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization Siqi Zhang Junchi Yang Cristóbal Guzmán Negar Kiyavash Niao He 90 62 0 29 Mar 2021
Joint Continuous and Discrete Model Selection via Submodularity Jonathan Bunton Paulo Tabuada 53 2 0 17 Feb 2021
Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise Yan Yan Xin Man Tianbao Yang 16 0 0 17 Jun 2020
A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems Zi Xu Hui-Li Zhang Yang Xu Guanghui Lan 121 101 0 03 Jun 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 344 945 0 02 Mar 2020
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems Junchi Yang Negar Kiyavash Niao He 101 84 0 22 Feb 2020
Task-Robust Model-Agnostic Meta-Learning Liam Collins Aryan Mokhtari Sanjay Shakkottai OOD 59 13 0 12 Feb 2020
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML Sijia Liu Songtao Lu Xiangyi Chen Yao Feng Kaidi Xu Abdullah Al-Dujaili Mingyi Hong Una-May Obelilly 94 26 0 30 Sep 2019
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective Kaidi Xu Hongge Chen Sijia Liu Pin-Yu Chen Tsui-Wei Weng Mingyi Hong Xue Lin AAML 92 454 0 10 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad Yangqiu Song AAML 74 37 0 09 Jun 2019
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications Songtao Lu Ioannis C. Tsaknakis Mingyi Hong Yongxin Chen 101 171 0 21 Feb 2019
Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning Hassan Rafique Mingrui Liu Qihang Lin Tianbao Yang 121 111 0 04 Oct 2018