Delayed Impact of Fair Machine Learning

12 March 2018

Max Simchowitz

Papers citing "Delayed Impact of Fair Machine Learning"

50 / 108 papers shown

Title
Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu Lu Zhang 28 20 0 04 Apr 2022
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity Kacper Sokol Meelis Kull J. Chan Flora D. Salim 37 6 0 14 Mar 2022
The Long Arc of Fairness: Formalisations and Ethical Discourse Pola Schwöbel Peter Remmers 29 18 0 08 Mar 2022
An Exploration of Multicalibration Uniform Convergence Bounds Harrison Rosenberg Robi Bhattacharjee Kassem Fawaz S. Jha 22 1 0 09 Feb 2022
On the Value of ML Models Fabio Casati Pierre-Andre Noel Jie Yang 24 7 0 13 Dec 2021
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 30 7 0 25 Oct 2021
Statistical discrimination in learning agents Edgar A. Duénez-Guzmán Kevin R. McKee Yiran Mao Ben Coppin Silvia Chiappa ... Yoram Bachrach Suzanne Sadedin William S. Isaac K. Tuyls Joel Z. Leibo 47 7 0 21 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 241 0 01 Oct 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 34 22 0 27 Aug 2021
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 38 2 0 11 Aug 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 42 13 0 01 Jul 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
Cooperative Multi-Agent Fairness and Equivariant Policies Niko A. Grupen B. Selman Daniel D. Lee FaML 21 11 0 10 Jun 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret David Lindner Hoda Heidari Andreas Krause OffRL 25 6 0 02 Jun 2021
Bandit based centralized matching in two-sided markets for peer to peer lending Soumajyoti Sarkar 11 0 0 06 May 2021
Causal Learning for Socially Responsible AI Lu Cheng Ahmadreza Mosallanezhad Paras Sheth Huan Liu 85 13 0 25 Apr 2021
Fairness through Social Welfare Optimization V. Chen J. N. Hooker 24 1 0 30 Jan 2021
Fairness with Continuous Optimal Transport Silvia Chiappa Aldo Pacchiano OT 42 12 0 06 Jan 2021
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective Naman Goel Alfonso Amayuelas Amit Deshpande Ajay Sharma FaML 41 29 0 21 Dec 2020
Fairness, Welfare, and Equity in Personalized Pricing Nathan Kallus Angela Zhou 24 39 0 21 Dec 2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 33 18 0 17 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,386 0 14 Dec 2020
Learning how to approve updates to machine learning algorithms in non-stationary settings Jean Feng 16 1 0 14 Dec 2020
Bandits in Matching Markets: Ideas and Proposals for Peer Lending Soumajyoti Sarkar 14 2 0 30 Oct 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 33 108 0 20 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 38 120 0 10 Jul 2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 14 40 0 17 Jun 2020
Controlling Fairness and Bias in Dynamic Learning-to-Rank Marco Morik Ashudeep Singh Jessica Hong Thorsten Joachims 25 206 0 29 May 2020
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 8 62 0 15 May 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities Ben Hutchinson Vinodkumar Prabhakaran Emily L. Denton Kellie Webster Yu Zhong Stephen Denuyl 28 302 0 02 May 2020
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 19 8 0 10 Mar 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 27 118 0 21 Feb 2020
Fair Prediction with Endogenous Behavior Christopher Jung Sampath Kannan Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra FaML 23 36 0 18 Feb 2020
Performative Prediction Juan C. Perdomo Tijana Zrnic Celestine Mendler-Dünner Moritz Hardt 39 306 0 16 Feb 2020
Pipeline Interventions Eshwar Ram Arunachaleswaran Sampath Kannan Aaron Roth Juba Ziani 22 7 0 16 Feb 2020
Decisions, Counterfactual Explanations and Strategic Behavior Stratis Tsirtsis Manuel Gomez Rodriguez 27 58 0 11 Feb 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 48 51 0 14 Jan 2020
Fair Data Adaptation with Quantile Preservation Drago Plečko N. Meinshausen 14 30 0 15 Nov 2019
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 36 133 0 26 Oct 2019
FACE: Feasible and Actionable Counterfactual Explanations Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodríguez T. D. Bie Peter A. Flach 18 365 0 20 Sep 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 29 67 0 18 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 355 4,237 0 23 Aug 2019
Optimal Decision Making Under Strategic Behavior Stratis Tsirtsis Behzad Tabibian M. Khajehnejad Adish Singla Bernhard Schölkopf Manuel Gomez Rodriguez 18 31 0 22 May 2019
Consequential Ranking Algorithms and Long-term Welfare Behzad Tabibian Vicencc Gómez A. De Bernhard Schölkopf Manuel Gomez Rodriguez 20 6 0 13 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 29 88 0 01 May 2019
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 28 5 0 08 Feb 2019
Dynamic fairness - Breaking vicious cycles in automatic decision making Benjamin Paassen Astrid Bunge Carolin Hainke Leon Sindelar Matthias Vogelsang FaML 24 11 0 01 Feb 2019
Implicit Diversity in Image Summarization L. E. Celis Vijay Keswani 24 33 0 29 Jan 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 24 31 0 15 Jan 2019
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Allison Woodruff Christine Luu Pierre Kreitmann Jonathan Bischof Ed H. Chi FaML 30 150 0 14 Jan 2019