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Fair Algorithms for Infinite and Contextual Bandits

29 October 2016

Papers citing "Fair Algorithms for Infinite and Contextual Bandits"

32 / 32 papers shown

Title
Improved Regret Bounds for Online Fair Division with Bandit Learning Benjamin G. Schiffer Shirley Zhang 76 2 0 13 Jan 2025
Honor Among Bandits: No-Regret Learning for Online Fair Division Ariel D. Procaccia Benjamin Schiffer Shirley Zhang FaML 69 4 0 01 Jul 2024
Fairness and Privacy Guarantees in Federated Contextual Bandits Sambhav Solanki Shweta Jain Sujit Gujar FedML 85 1 0 05 Feb 2024
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 73 3 0 26 Oct 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 58 6 0 13 Jan 2023
Fair and Optimal Classification via Post-Processing Ruicheng Xian Lang Yin Han Zhao FaML 110 32 0 03 Nov 2022
An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret Matthew D. Jones Huy Le Nguyen Thy Nguyen FaML 140 8 0 23 Sep 2022
Socially Fair Reinforcement Learning Debmalya Mandal Jiarui Gan OffRL 75 13 0 26 Aug 2022
Entropy Regularization for Population Estimation Ben Chugg Peter Henderson Jacob Goldin Daniel E. Ho 58 3 0 24 Aug 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 94 29 0 08 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 99 15 0 20 May 2022
Online Fair Revenue Maximizing Cake Division with Non-Contiguous Pieces in Adversarial Bandits Mohammad Ghodsi Amirmahdi Mirfakhar 56 2 0 29 Nov 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 212 0 12 Jul 2021
Rawlsian Fair Adaptation of Deep Learning Classifiers Kulin Shah Pooja Gupta Amit Deshpande Chiranjib Bhattacharyya FaML 48 12 0 31 May 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 77 50 0 03 Mar 2021
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 158 60 0 12 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 108 653 0 04 Oct 2020
Fair Contextual Multi-Armed Bandits: Theory and Experiments Yifang Chen Alex Cuellar Haipeng Luo Jignesh Modi Heramb Nemlekar Stefanos Nikolaidis FaML 91 61 0 13 Dec 2019
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 90 403 0 11 Dec 2019
Avoiding Resentment Via Monotonic Fairness G. W. Cole Sinead Williamson FaML 99 7 0 03 Sep 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 76 285 0 05 Feb 2019
Combinatorial Sleeping Bandits with Fairness Constraints Fengjiao Li Jia-Wei Liu Bo Ji 69 162 0 15 Jan 2019
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 83 63 0 10 Dec 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 205 416 0 20 Oct 2018
Mitigating Bias in Adaptive Data Gathering via Differential Privacy Seth Neel Aaron Roth FedML 92 37 0 06 Jun 2018
Online Learning with an Unknown Fairness Metric Stephen Gillen Christopher Jung Michael Kearns Aaron Roth FaML 73 144 0 20 Feb 2018
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth FaML 123 648 0 13 Feb 2018
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem Sampath Kannan Jamie Morgenstern Aaron Roth Bo Waggoner Zhiwei Steven Wu 145 17 0 10 Jan 2018
Calibration for the (Computationally-Identifiable) Masses Úrsula Hébert-Johnson Michael P. Kim Omer Reingold G. Rothblum FaML 89 88 0 22 Nov 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 215 882 0 06 Sep 2017
Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English Su Lin Blodgett Brendan O'Connor 92 148 0 30 Jun 2017
Runaway Feedback Loops in Predictive Policing D. Ensign Sorelle A. Friedler Scott Neville C. Scheidegger Suresh Venkatasubramanian 69 347 0 29 Jun 2017