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Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach

11 October 2016

Papers citing "Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach"

50 / 202 papers shown

Title
Task-Robust Pre-Training for Worst-Case Downstream Adaptation Jianghui Wang Cheng Yang Xingyu Xie Cong Fang Zhouchen Lin OOD 68 0 0 21 Jun 2023
Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman V. Ravuri Mélanie Rey S. Mohamed M. Deisenroth VLM 72 5 0 16 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 64 6 0 15 Jun 2023
Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation Md. Niaz Imtiaz N. Khan OOD 27 0 0 07 Jun 2023
Optimal Transport Model Distributional Robustness Van-Anh Nguyen Trung Le Anh Tuan Bui Thanh-Toan Do Dinh Q. Phung OOD 77 4 0 07 Jun 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
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama OOD 87 6 0 24 May 2023
Optimal Learning via Moderate Deviations Theory Arnab Ganguly Tobias Sutter 50 1 0 23 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization Ting Wu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang 65 2 0 20 May 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization Zimeng Qiu Quanqi Hu Zhuoning Yuan Denny Zhou Lijun Zhang Tianbao Yang 97 21 0 19 May 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments Heiner Kremer Yassine Nemmour Bernhard Schölkopf Jia-Jie Zhu 103 7 0 18 May 2023
Ranking & Reweighting Improves Group Distributional Robustness Yachuan Liu Bohang Zhang Qiaozhu Mei Paramveer S. Dhillon OOD 31 0 0 09 May 2023
Augmented balancing weights as linear regression David Bruns-Smith O. Dukes Avi Feller Elizabeth L. Ogburn 96 11 0 27 Apr 2023
Statistical Limit Theorems in Distributionally Robust Optimization Jose H. Blanchet A. Shapiro 78 14 0 27 Mar 2023
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense B. Le Shahroz Tariq Simon S. Woo AAML 49 0 0 21 Mar 2023
Group conditional validity via multi-group learning Samuel Deng Navid Ardeshir Daniel J. Hsu 67 1 0 07 Mar 2023
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 146 21 0 07 Mar 2023
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao Tianqi Du Yisen Wang Jun Yao Weiran Huang 117 13 0 02 Mar 2023
A Finite Sample Complexity Bound for Distributionally Robust Q-learning Shengbo Wang Nian Si Jose H. Blanchet Zhengyuan Zhou OOD OffRL 91 28 0 26 Feb 2023
Distributionally Robust Recourse Action D. Nguyen Ngoc H. Bui Viet Anh Nguyen 87 8 0 22 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
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts Amrith Rajagopal Setlur D. Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn Virginia Smith Sergey Levine OOD 62 11 0 06 Feb 2023
Learning Optimal Features via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani Lav Varshney OOD 78 2 0 28 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 100 61 0 24 Jan 2023
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees Songkai Xue Yuekai Sun Mikhail Yurochkin FaML 59 0 0 15 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 74 0 0 04 Jan 2023
A Distributionally Robust Optimization Framework for Extreme Event Estimation Yuanlu Bai Henry Lam Xinyu Zhang 61 4 0 03 Jan 2023
Distributional Robustness Bounds Generalization Errors Shixiong Wang Haowei Wang OOD 90 4 0 20 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 92 7 0 18 Dec 2022
Minimax Optimal Estimation of Stability Under Distribution Shift Hongseok Namkoong Yuanzhe Ma Peter Glynn 199 6 0 13 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization Bhargavi Paranjape Pradeep Dasigi Vivek Srikumar Luke Zettlemoyer Hannaneh Hajishirzi 98 8 0 02 Dec 2022
The out-of-sample prediction error of the square-root-LASSO and related estimators J. M. Olea Cynthia Rush Amilcar Velez J. Wiesel OOD 90 6 0 14 Nov 2022
Learning to Price Supply Chain Contracts against a Learning Retailer Xuejun Zhao Ruihao Zhu W. Haskell OffRL 84 0 0 02 Nov 2022
Just Mix Once: Worst-group Generalization by Group Interpolation Giorgio Giannone Serhii Havrylov Jordan Massiah Emine Yilmaz Yunlong Jiao 85 2 0 21 Oct 2022
Stochastic Constrained DRO with a Complexity Independent of Sample Size Q. Qi Jiameng Lyu Kung-Sik Chan E. Bai Tianbao Yang 109 16 0 11 Oct 2022
Constrained Maximum Cross-Domain Likelihood for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 84 4 0 09 Oct 2022
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift Yijun Dong Yuege Xie Rachel A. Ward OOD 76 1 0 04 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 173 65 0 04 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 100 48 0 30 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 102 3 0 23 Sep 2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 96 26 0 14 Sep 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
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models Brendon G. Anderson Tanmay Gautam Somayeh Sojoudi OOD 53 2 0 15 Aug 2022
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity Christian Frohlich Robert C. Williamson 60 5 0 05 Aug 2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains Xinlin Leng Xiaoying Tang Yatao Bian AI4CE OOD 44 0 0 28 Jul 2022
Holistic Robust Data-Driven Decisions Amine Bennouna Bart P. G. Van Parys Ryan Lucas OOD 107 23 0 19 Jul 2022
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge Junchang Wang Liyan Xie Yao Xie Shao-Lun Huang Yang Li OOD 44 0 0 11 Jul 2022
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions Heiner Kremer Jia-Jie Zhu Krikamol Muandet Bernhard Schölkopf 82 8 0 11 Jul 2022
On Certifying and Improving Generalization to Unseen Domains Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD 99 4 0 24 Jun 2022
Robust Reinforcement Learning with Distributional Risk-averse formulation Pierre Clavier S. Allassonnière E. L. Pennec OOD 80 7 0 14 Jun 2022