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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
Variational Learning of Disentangled Representations Yuli Slavutsky Ozgur Beker David Blei Bianca Dumitrascu DRL OOD CML CoGe 39 0 0 20 Jun 2025
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning Liang Chen Xueting Han Li Shen Jing Bai Kam-Fai Wong AAML 74 0 0 04 Jun 2025
When Shift Happens - Confounding Is to Blame Abbavaram Gowtham Reddy Celia Rubio-Madrigal R. Burkholz Krikamol Muandet OOD 49 0 0 27 May 2025
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
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws Xiyuan Wei Ming Lin Fanjiang Ye Fengguang Song Liangliang Cao My T. Thai Tianbao Yang LLMSV 103 0 0 10 May 2025
Sparfels: Fast Reconstruction from Sparse Unposed Imagery Shubhendu Jena Amine Ouasfi Mae Younes A. Boukhayma 3DGS 139 1 0 04 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 114 1 0 24 Apr 2025
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy Athiya Deviyani Fernando Diaz 88 0 0 25 Mar 2025
Towards Optimal Offline Reinforcement Learning Mengmeng Li Daniel Kuhn Tobias Sutter OffRL 140 0 0 15 Mar 2025
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments Hanyu Duan Yi Yang Ahmed Abbasi Kar Yan Tam OOD 180 0 0 05 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
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Kaican Li Weiyan Xie Yongxiang Huang Didan Deng Lanqing Hong Zechao Li Ricardo Silva N. Zhang 148 0 0 29 Nov 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise Shuyao Li Sushrut Karmalkar Ilias Diakonikolas Jelena Diakonikolas OOD 74 0 0 11 Nov 2024
Distributionally Robust Optimization Daniel Kuhn Soroosh Shafiee W. Wiesemann 107 0 0 04 Nov 2024
LLM Embeddings Improve Test-time Adaptation to Tabular $Y\|X$ -Shifts Yibo Zeng Jiashuo Liu Henry Lam Hongseok Namkoong LMTD 98 2 0 09 Oct 2024
Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Z. Shams M. Jamnik Alice Xiang 126 3 0 26 Sep 2024
Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization Zhihao Gu Zi Xu 79 1 0 22 Aug 2024
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization Yangdi Wang Zhi-Hai Zhang Su Xiu Xu Wenming Guo 61 0 0 09 Aug 2024
Robust personalized pricing under uncertainty of purchase probabilities Shunnosuke Ikeda Naoki Nishimura Noriyoshi Sukegawa Yuichi Takano 42 1 0 22 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 96 18 0 01 Jul 2024
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque Arthur Gretton Alexander DÁmour Silvia Chiappa OOD CML 112 3 0 25 Jun 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
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 66 3 0 02 Jun 2024
Statistical Properties of Robust Satisficing Zhiyi Li Yunbei Xu Ruohan Zhan 39 0 0 30 May 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 135 2 0 29 May 2024
Geometry-Aware Instrumental Variable Regression Heiner Kremer Bernhard Schölkopf 83 0 0 19 May 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang Yi Zhou Ashley Prater-Bennette Lixin Shen Shaofeng Zou 115 4 0 01 Apr 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations Rwiddhi Chakraborty Adrian Sletten Michael C. Kampffmeyer 99 1 0 20 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
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 84 32 0 04 Mar 2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery Yang Chen Yitao Liang Zhouchen Lin OOD CML 49 0 0 29 Feb 2024
Towards Fairness-Aware Adversarial Learning Yanghao Zhang Tianle Zhang Ronghui Mu Xiaowei Huang Wenjie Ruan 88 4 0 27 Feb 2024
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences Souradip Chakraborty Jiahao Qiu Hui Yuan Alec Koppel Furong Huang Dinesh Manocha Amrit Singh Bedi Mengdi Wang ALM 98 60 0 14 Feb 2024
Revisiting the Dataset Bias Problem from a Statistical Perspective Kien Do D. Nguyen Hung Le T. Le Dang Nguyen Haripriya Harikumar T. Tran Santu Rana Svetha Venkatesh 56 0 0 05 Feb 2024
Beyond Expectations: Learning with Stochastic Dominance Made Practical Shicong Cen Jincheng Mei Hanjun Dai Dale Schuurmans Yuejie Chi Bo Dai 38 0 0 05 Feb 2024
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits Yi Guo Hao Liu Yisong Yue Anqi Liu OffRL 99 2 0 21 Jan 2024
BSL: Understanding and Improving Softmax Loss for Recommendation Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Jizhi Zhang Xiang Wang 71 6 0 20 Dec 2023
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure Xinying Zou S. Perlaza I. Esnaola Eitan Altman 58 18 0 19 Dec 2023
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training Jiaxu Zhao Lu Yin Shiwei Liu Meng Fang Mykola Pechenizkiy 93 3 0 05 Dec 2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations Y. Slavutsky Y. Benjamini VLM OOD 120 1 0 30 Nov 2023
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 87 0 0 21 Nov 2023
Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework Wenzhuo Zhou Yuhan Li Ruoqing Zhu Annie Qu OffRL 73 5 0 23 Sep 2023
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 83 2 0 19 Sep 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 82 21 0 16 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges Fei Dou Jin Ye Geng Yuan Qin Lu Wei Niu ... Hongyue Sun Yunli Shao Changying Li Tianming Liu Wenzhan Song AI4CE 85 29 0 14 Sep 2023
Statistical Estimation Under Distribution Shift: Wasserstein Perturbations and Minimax Theory Patrick Chao Yan Sun 50 1 0 03 Aug 2023
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning S. Giddens Yiwang Zhou K. Krull T. Brinkman P. Song Fan Liu 66 1 0 24 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 77 7 0 20 Jul 2023
Understanding Uncertainty Sampling Shang Liu Xiaocheng Li UQCV 47 7 0 06 Jul 2023
Smoothed $f$ -Divergence Distributionally Robust Optimization Zhen-Yan Liu Bart P. G. Van Parys Henry Lam 58 6 0 24 Jun 2023