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Active Sampling for Min-Max Fairness

11 June 2020

Jacob D. Abernethy

Pranjal Awasthi

Matthäus Kleindessner

Papers citing "Active Sampling for Min-Max Fairness"

24 / 24 papers shown

Title
Active Data Sampling and Generation for Bias Remediation Antonio Maratea Rita Perna 136 0 0 26 Mar 2025
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior Xuanqian Wang Jing Li Ivor Tsang Yew-Soon Ong 76 1 0 04 Nov 2024
Adjusting Pretrained Backbones for Performativity Berker Demirel Lingjing Kong Kun Zhang Theofanis Karaletsos Celestine Mendler-Dünner Francesco Locatello KELM 67 0 0 06 Oct 2024
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity Quan Nguyen Nishant A. Mehta Cristóbal Guzmán 236 2 0 01 Oct 2024
Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets Muhammad Ahmad Andrew Estornell Ellen Wright Clayton Salvatore Distefano Russell Rothman Swalpa Kumar Roy Danfeng Hong 24 0 0 02 Aug 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 122 3 0 30 Jun 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 54 0 0 28 Jun 2024
Differentially Private Worst-group Risk Minimization Xinyu Zhou Raef Bassily 70 3 0 29 Feb 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models Cyrus Cousins I. E. Kumar Suresh Venkatasubramanian FedML 71 2 0 29 Feb 2024
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach Vijay Keswani Anay Mehrotra L. E. Celis FaML 80 0 0 17 Feb 2024
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 60 4 0 23 Jan 2024
Fair Active Learning in Low-Data Regimes Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit P. Jain Kevin Jamieson FaML 57 1 0 13 Dec 2023
Optimal Multi-Distribution Learning Zihan Zhang Wenhao Zhan Yuxin Chen Simon S. Du Jason D. Lee 87 14 0 08 Dec 2023
Benchmarking Multi-Domain Active Learning on Image Classification Jiayi Li Rohan Taori Tatsunori Hashimoto VLM 66 0 0 01 Dec 2023
Agnostic Multi-Group Active Learning Nick Rittler Kamalika Chaudhuri 46 1 0 02 Jun 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 72 5 0 11 Feb 2023
Can Strategic Data Collection Improve the Performance of Poverty Prediction Models? satej soman Emily L. Aiken Esther Rolf J. Blumenstock 13 2 0 16 Nov 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 49 1 0 25 Oct 2022
Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu AAML 70 1 0 22 Sep 2022
M $^2$ DQN: A Robust Method for Accelerating Deep Q-learning Network Zhe Zhang Yukun Zou Junjie Lai Qinglong Xu 20 4 0 16 Sep 2022
Representation Bias in Data: A Survey on Identification and Resolution Techniques N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 87 76 0 22 Mar 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers Dominik Zietlow Michael Lohaus Guha Balakrishnan Matthäus Kleindessner Francesco Locatello Bernhard Schölkopf Chris Russell FaML 82 75 0 09 Mar 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 164 30 0 31 Jan 2022
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 85 7 0 25 Oct 2021