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2202.05436
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Minimax Regret Optimization for Robust Machine Learning under Distribution Shift
11 February 2022
Alekh Agarwal
Tong Zhang
OOD
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Papers citing
"Minimax Regret Optimization for Robust Machine Learning under Distribution Shift"
22 / 22 papers shown
Title
Group Distributionally Robust Optimization with Flexible Sample Queries
Haomin Bai
Dingzhi Yu
Shuai Li
Haipeng Luo
Lijun Zhang
42
0
0
21 May 2025
Three Types of Calibration with Properties and their Semantic and Formal Relationships
Rabanus Derr
Jessie Finocchiaro
Robert C. Williamson
157
0
0
25 Apr 2025
Wasserstein Distributionally Robust Regret Optimization
Lukas-Benedikt Fiechtner
Jose Blanchet
91
0
0
15 Apr 2025
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets
Lulu Ban
Tao Zhu
Xiangqing Lu
Qi Qiu
Wenyong Han
Shuangjian Li
L. Chen
Kevin I-Kai Wang
Mingxing Nie
Yaping Wan
189
0
0
16 Mar 2025
Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data
Yi Zhang
Melody Huang
Kosuke Imai
CML
145
2
0
15 Dec 2024
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
Omar Montasser
Han Shao
Emmanuel Abbe
OOD
58
2
0
30 Oct 2024
Robust Offline Policy Learning with Observational Data from Multiple Sources
Aldo G. Carranza
Susan Athey
OffRL
65
2
0
11 Oct 2024
Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization
Zhihao Gu
Zi Xu
81
1
0
22 Aug 2024
Taking a Moment for Distributional Robustness
Jabari Hastings
Christopher Jung
Charlotte Peale
Vasilis Syrgkanis
OOD
62
1
0
08 May 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Yihong Gu
Cong Fang
Peter Bühlmann
Jianqing Fan
OOD
CML
309
2
0
07 May 2024
Minimax Regret Learning for Data with Heterogeneous Subgroups
Weibin Mo
Weijing Tang
Songkai Xue
Yufeng Liu
Ji Zhu
55
4
0
02 May 2024
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
100
8
0
15 Mar 2024
Towards Independence Criterion in Machine Unlearning of Features and Labels
Ling Han
Nanqing Luo
Hao Huang
Jing Chen
Mary-Anne Hartley
MU
98
4
0
12 Mar 2024
Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond
Dingzhi Yu
Yu-yan Cai
Wei Jiang
Lijun Zhang
78
6
0
06 Mar 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning
Philip Amortila
Tongyi Cao
Akshay Krishnamurthy
OffRL
OOD
71
3
0
22 Jan 2024
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
Jiashuo Liu
Jiayun Wu
Tianyu Wang
Hao Zou
Yue Liu
Peng Cui
62
4
0
08 Nov 2023
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
Lauren E. Conger
Franca Hoffmann
Eric Mazumdar
Lillian J. Ratliff
94
4
0
03 Jul 2023
Efficient Stochastic Approximation of Minimax Excess Risk Optimization
Lijun Zhang
Haomin Bai
W. Tu
Ping Yang
Yao Hu
113
4
0
31 May 2023
Submodular Minimax Optimization: Finding Effective Sets
Loay Mualem
Ethan R. Elenberg
Moran Feldman
Amin Karbasi
61
5
0
26 May 2023
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang
Junjie Ye
Feng Liu
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
208
47
0
09 Mar 2023
On the Stability and Generalization of Triplet Learning
Jun Chen
Hao Chen
Xue Jiang
Bin Gu
Weifu Li
Tieliang Gong
Feng Zheng
54
4
0
20 Feb 2023
Stochastic Approximation Approaches to Group Distributionally Robust Optimization
Lijun Zhang
Peng Zhao
Zhen-Hua Zhuang
Tianbao Yang
Zhihong Zhou
101
6
0
18 Feb 2023
1