Fairness Without Demographics in Repeated Loss Minimization

20 June 2018

Tatsunori B. Hashimoto

Papers citing "Fairness Without Demographics in Repeated Loss Minimization"

50 / 138 papers shown

Title
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 39 0 0 16 Apr 2025
Position: Model Collapse Does Not Mean What You Think Rylan Schaeffer Joshua Kazdan Alvan Caleb Arulandu Sanmi Koyejo 80 0 0 05 Mar 2025
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health Mira Moukheiber L. Moukheiber Dana Moukheiber Hyung-Chul Lee 67 2 0 23 Feb 2025
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool Floris Holstege Mackenzie Jorgensen Kirtan Padh Jurriaan Parie Joel Persson Krsto Prorokovic Lukas Snoek 105 0 0 03 Feb 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 68 3 0 01 Jan 2025
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 94 0 0 31 Dec 2024
Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models Alireza Amiri-Margavi Iman Jebellat Ehsan Jebellat Seyed Pouyan Mousavi Davoudi 99 2 0 25 Nov 2024
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 52 0 0 05 Nov 2024
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets Tianjian Li Haoran Xu Weiting Tan Kenton Murray Daniel Khashabi 35 1 0 06 Oct 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters Ruiqi Zhong Heng Wang Dan Klein Jacob Steinhardt 37 6 0 13 Sep 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 58 0 0 23 Jul 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 33 0 0 10 Jul 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 47 1 0 03 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 48 17 0 01 Jul 2024
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets Jiatong Shi Shih-Heng Wang William Chen Martijn Bartelds Vanya Bannihatti Kumar ... Xuankai Chang Dan Jurafsky Karen Livescu Hung-yi Lee Shinji Watanabe AuLLM 77 5 0 12 Jun 2024
Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng Xuelin Yang Li Chen Cristian Canton Ferrer Ming Jin Michael I. Jordan Ruoxi Jia 42 2 0 11 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 66 3 0 10 Jun 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias Zaiying Zhao Soichiro Kumano Toshihiko Yamasaki 48 2 0 05 Jun 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin Santosh Xin Wang Shu Hu Shu Hu EGVM 83 11 0 02 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization Duhun Hwang Suhyun Kang Moonjung Eo Jimyeong Kim Wonjong Rhee 59 0 0 30 May 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 51 2 0 30 Apr 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms Haoyu Lei Amin Gohari Farzan Farnia FaML 35 1 0 28 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 105 0 0 20 Feb 2024
Strategic Usage in a Multi-Learner Setting Eliot Shekhtman Sarah Dean 37 2 0 29 Jan 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 39 6 0 26 Jan 2024
Initializing Services in Interactive ML Systems for Diverse Users Avinandan Bose Mihaela Curmei Daniel L. Jiang Jamie Morgenstern Sarah Dean Lillian J. Ratliff Maryam Fazel 21 5 0 19 Dec 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 38 4 0 21 Nov 2023
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens Jean Feng Adarsh Subbaswamy Alexej Gossmann Harvineet Singh B. Sahiner Mi-Ok Kim Gene Pennello N. Petrick Romain Pirracchio Fan Xia 24 1 0 20 Nov 2023
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator Elysia Q. Smyers Sydney M. Katz Anthony Corso Mykel J. Kochenderfer AAML 32 4 0 19 Jun 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining Sang Michael Xie Hieu H. Pham Xuanyi Dong Nan Du Hanxiao Liu Yifeng Lu Percy Liang Quoc V. Le Tengyu Ma Adams Wei Yu MoMe MoE 56 180 0 17 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 50 23 0 10 May 2023
Runtime Monitoring of Dynamic Fairness Properties T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik 37 14 0 08 May 2023
Systemic Fairness Arindam Ray B. Padmanabhan Lina Bouayad FaML 19 0 0 14 Apr 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 38 33 0 23 Mar 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients Manas Wadhwa Gagan Raj Gupta Ashutosh Sahu Rahul Saini Vidhi Mittal FedML 24 6 0 19 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization Sangwon Jung Taeeon Park Sanghyuk Chun Taesup Moon 11 19 0 01 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 42 1 0 22 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 39 5 0 02 Feb 2023
Robust variance-regularized risk minimization with concomitant scaling Matthew J. Holland 31 1 0 27 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 47 2 0 03 Jan 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 34 2 0 14 Dec 2022
Learning Antidote Data to Individual Unfairness Peizhao Li Ethan Xia Hongfu Liu FedML FaML 24 9 0 29 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 30 10 0 28 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 37 22 0 23 Nov 2022
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics Shu Hu George H. Chen 24 13 0 18 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Ellen Tan Zhengling Qi C. Seymour Lu Tang OffRL 26 8 0 12 Nov 2022
Reinforcement Learning with Stepwise Fairness Constraints Zhun Deng He Sun Zhiwei Steven Wu Linjun Zhang David C. Parkes FaML OffRL 43 11 0 08 Nov 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions Nika Haghtalab Michael I. Jordan Eric Zhao FedML 50 35 0 22 Oct 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 46 37 0 19 Oct 2022