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Two-Player Games for Efficient Non-Convex Constrained Optimization

17 April 2018

Papers citing "Two-Player Games for Efficient Non-Convex Constrained Optimization"

42 / 42 papers shown

Title
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 89 0 0 02 Oct 2024
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller 88 1 0 23 May 2024
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing Swastika Roy Hatim Chergui C. Verikoukis FedML 58 3 0 18 Jul 2023
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs Dongsheng Ding Chen-Yu Wei Kai Zhang Alejandro Ribeiro 105 22 0 20 Jun 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 97 18 0 05 Feb 2023
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees Songkai Xue Yuekai Sun Mikhail Yurochkin FaML 59 0 0 15 Jan 2023
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 79 7 0 22 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 105 177 0 14 Jul 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang Xinze Wang Yang Liu TDI FaML 108 34 0 30 Jun 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 93 12 0 22 Jun 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Miriam Rateike Ayan Majumdar Olga Mineeva Krishna P. Gummadi Isabel Valera OffRL 92 12 0 10 May 2022
Breaking Fair Binary Classification with Optimal Flipping Attacks Changhun Jo Jy-yong Sohn Kangwook Lee FaML 65 7 0 12 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 176 188 0 28 Mar 2022
Learning Distributionally Robust Models at Scale via Composite Optimization Farzin Haddadpour Mohammad Mahdi Kamani M. Mahdavi Amin Karbasi OOD 69 5 0 17 Mar 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 61 5 0 07 Feb 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 83 350 0 13 Dec 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 77 65 0 27 Oct 2021
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 159 50 0 21 Sep 2021
Implicit Rate-Constrained Optimization of Non-decomposable Objectives Abhishek Kumar Harikrishna Narasimhan Andrew Cotter 90 10 0 23 Jul 2021
Churn Reduction via Distillation Heinrich Jiang Harikrishna Narasimhan Dara Bahri Andrew Cotter Afshin Rostamizadeh 134 15 0 04 Jun 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 108 145 0 20 May 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 183 238 0 21 Apr 2021
Perceptually Constrained Adversarial Attacks Muhammad Zaid Hameed András Gyorgy 46 12 0 14 Feb 2021
Regularization Strategies for Quantile Regression Taman Narayan S. Wang K. Canini Maya R. Gupta 41 0 0 09 Feb 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 105 85 0 02 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 312 500 0 31 Dec 2020
FairBatch: Batch Selection for Model Fairness Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh VLM 96 133 0 03 Dec 2020
Adversarial Robustness Across Representation Spaces Pranjal Awasthi George Yu Chun-Sung Ferng Andrew Tomkins Da-Cheng Juan OOD AAML 81 11 0 01 Dec 2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 84 51 0 25 Sep 2020
Competitive Mirror Descent F. Schafer Anima Anandkumar H. Owhadi 75 12 0 17 Jun 2020
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility Sen Cui Weishen Pan Changshui Zhang Fei Wang 67 14 0 15 Jun 2020
Active Sampling for Min-Max Fairness Jacob D. Abernethy Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern Chris Russell Jie Zhang FaML 70 50 0 11 Jun 2020
Cyberbullying Detection with Fairness Constraints O. Gencoglu 84 49 0 09 May 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 85 79 0 24 Feb 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 76 122 0 21 Feb 2020
Deontological Ethics By Monotonicity Shape Constraints S. Wang Maya R. Gupta 69 21 0 31 Jan 2020
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 69 181 0 28 Jul 2019
Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan Andrew Cotter Maya R. Gupta S. Wang 89 115 0 12 Jun 2019
Equal Opportunity in Online Classification with Partial Feedback Yahav Bechavod Katrina Ligett Aaron Roth Bo Waggoner Zhiwei Steven Wu FaML 78 60 0 06 Feb 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 104 284 0 15 Jan 2019
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals Andrew Cotter Heinrich Jiang S. Wang Taman Narayan Maya R. Gupta Seungil You Karthik Sridharan 90 158 0 11 Sep 2018
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints Andrew Cotter Maya R. Gupta Heinrich Jiang Nathan Srebro Karthik Sridharan S. Wang Blake E. Woodworth Seungil You FaML 102 106 0 29 Jun 2018