Modeling the Second Player in Distributionally Robust Optimization

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Modeling the Second Player in Distributionally Robust Optimization

18 March 2021

Tatsunori Hashimoto

Graham Neubig

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Papers citing "Modeling the Second Player in Distributionally Robust Optimization"

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Title
Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning Nicolas Castanet Olivier Sigaud Sylvain Lamprier OffRL 108 0 0 23 May 2025
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets Charita Dellaporta Patrick O'Hara Theodoros Damoulas 115 0 0 06 May 2025
Distributionally Robust Optimisation with Bayesian Ambiguity Sets Charita Dellaporta Patrick O'Hara Theodoros Damoulas 44 0 0 05 Sep 2024
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback Ilgee Hong Zichong Li Alexander Bukharin Yixiao Li Haoming Jiang Tianbao Yang Tuo Zhao 82 6 0 04 Jun 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective Xuechen Zhang Mingchen Li Jiasi Chen Christos Thrampoulidis Samet Oymak 92 3 0 25 Jan 2024
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 128 39 0 03 Nov 2023
Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Xiang Wang Xiangnan He 118 27 0 17 Oct 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 129 3 0 23 May 2023
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias Zhiyuan Zhang Deli Chen Hao Zhou Fandong Meng Jie Zhou Xu Sun 73 5 0 08 May 2023
Moderately Distributional Exploration for Domain Generalization Ruiqi Dai Yonggang Zhang Zhen Fang Bo Han Xinmei Tian OOD 117 19 0 27 Apr 2023
Reweighted Mixup for Subpopulation Shift Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li ... P. Zhao Qinghua Hu Bing Wu Changqing Zhang Jianhua Yao 53 3 0 09 Apr 2023
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis Laurent Risser Agustin Picard Lucas Hervier Jean-Michel Loubes FaML 74 5 0 10 Oct 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 112 36 0 19 Sep 2022
Domain-Specific Risk Minimization for Out-of-Distribution Generalization Yi-Fan Zhang Jindong Wang Jian Liang Zhang Zhang Baosheng Yu Liangdao Wang Dacheng Tao Xingxu Xie OOD 119 17 0 18 Aug 2022
A Tale of Two Models: Constructing Evasive Attacks on Edge Models Wei Hao Aahil Awatramani Jia-Bin Hu Chengzhi Mao Pin-Chun Chen Eyal Cidon Asaf Cidon Junfeng Yang AAML 82 4 0 22 Apr 2022
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel Tatsunori Hashimoto Graham Neubig OOD 87 18 0 13 Apr 2022
Boosted CVaR Classification Runtian Zhai Chen Dan A. Suggala Zico Kolter Pradeep Ravikumar 85 17 0 26 Oct 2021
Examining and Combating Spurious Features under Distribution Shift Chunting Zhou Xuezhe Ma Paul Michel Graham Neubig OOD 89 68 0 14 Jun 2021
DORO: Distributional and Outlier Robust Optimization Runtian Zhai Chen Dan J. Zico Kolter Pradeep Ravikumar 55 62 0 11 Jun 2021