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Learning under selective labels in the presence of expert consistency

2 July 2018

Maria De-Arteaga

A. Dubrawski

Alexandra Chouldechova

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Papers citing "Learning under selective labels in the presence of expert consistency"

20 / 20 papers shown

Title
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest Jakob Schoeffer Maria De-Arteaga Jonathan Elmer 461 0 0 05 Apr 2025
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 218 1 0 18 Oct 2024
Predictive Performance Comparison of Decision Policies Under Confounding Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu OffRL 193 0 0 01 Apr 2024
Monotone Individual Fairness Yahav Bechavod 54 2 0 11 Mar 2024
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach Vijay Keswani Anay Mehrotra L. E. Celis FaML 73 0 0 17 Feb 2024
Prediction without Preclusion: Recourse Verification with Reachable Sets Avni Kothari B. Kulynych Tsui-Wei Weng Berk Ustun FaML 75 6 0 24 Aug 2023
Algorithmic Censoring in Dynamic Learning Systems Jennifer Chien Margaret E. Roberts Berk Ustun 58 6 0 15 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 217 11 0 13 Apr 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making Luke M. Guerdan Amanda Coston Zhiwei Steven Wu Kenneth Holstein CML 80 29 0 13 Feb 2023
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer Diogo Leitao Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 68 21 0 27 Jun 2022
Individually Fair Learning with One-Sided Feedback Yahav Bechavod Aaron Roth FaML 53 3 0 09 Jun 2022
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 74 7 0 25 Oct 2021
Human-AI Collaboration with Bandit Feedback Ruijiang Gao M. Saar-Tsechansky Maria De-Arteaga Ligong Han Min Kyung Lee Matthew Lease 201 50 0 22 May 2021
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov Christoph H. Lampert 84 19 0 11 Feb 2021
Leveraging Expert Consistency to Improve Algorithmic Decision Support Maria De-Arteaga Vincent Jeanselme A. Dubrawski Alexandra Chouldechova 69 22 0 24 Jan 2021
Optimal Policies for the Homogeneous Selective Labels Problem Dennis L. Wei OffRL 16 2 0 02 Nov 2020
On Adversarial Bias and the Robustness of Fair Machine Learning Hong Chang Ta Duy Nguyen S. K. Murakonda Ehsan Kazemi Reza Shokri FaML OOD FedML 68 51 0 15 Jun 2020
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? Avrim Blum Kevin Stangl FaML 61 87 0 02 Dec 2019
Bias In, Bias Out? Evaluating the Folk Wisdom Ashesh Rambachan J. Roth FaML 60 31 0 18 Sep 2019
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data David Madras Elliot Creager T. Pitassi R. Zemel FaML 85 133 0 07 Sep 2018