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Fair Inference On Outcomes

29 May 2017

Papers citing "Fair Inference On Outcomes"

24 / 124 papers shown

Title
Capuchin: Causal Database Repair for Algorithmic Fairness Babak Salimi Luke Rodriguez Bill Howe Dan Suciu FaML CML 166 30 0 21 Feb 2019
General Fair Empirical Risk Minimization L. Oneto Michele Donini Massimiliano Pontil FaML 110 40 0 29 Jan 2019
Algorithms for Fairness in Sequential Decision Making Min Wen Osbert Bastani Ufuk Topcu FaML 74 55 0 24 Jan 2019
Probabilistic Verification of Fairness Properties via Concentration Osbert Bastani Xin Zhang Armando Solar-Lezama FaML FedML 81 72 0 02 Dec 2018
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers Elias Baumann J. L. Rumberger FaML 41 4 0 20 Nov 2018
Eliminating Latent Discrimination: Train Then Mask Soheil Ghili Ehsan Kazemi Amin Karbasi FaML 117 11 0 12 Nov 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 205 416 0 20 Oct 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk Stephen Pfohl Ben J. Marafino Adrien Coulet F. Rodriguez L. Palaniappan N. Shah 71 68 0 12 Sep 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data David Madras Elliot Creager T. Pitassi R. Zemel FaML 94 133 0 07 Sep 2018
Learning Optimal Fair Policies Razieh Nabi Daniel Malinsky I. Shpitser FaML 81 87 0 06 Sep 2018
Causal Interventions for Fairness Matt J. Kusner Chris Russell Joshua R. Loftus Ricardo M. A. Silva FaML 133 14 0 06 Jun 2018
Causal Reasoning for Algorithmic Fairness Joshua R. Loftus Chris Russell Matt J. Kusner Ricardo M. A. Silva FaML CML 86 128 0 15 May 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 112 478 0 12 Mar 2018
On Discrimination Discovery and Removal in Ranked Data using Causal Graph Yongkai Wu Lu Zhang Xintao Wu FaML CML 49 47 0 05 Mar 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction Nina Grgic-Hlaca Elissa M. Redmiles Krishna P. Gummadi Adrian Weller FaML 88 233 0 26 Feb 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 86 445 0 23 Feb 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 97 341 0 22 Feb 2018
Does mitigating ML's impact disparity require treatment disparity? Zachary Chase Lipton Alexandra Chouldechova Julian McAuley 80 16 0 19 Nov 2017
On Formalizing Fairness in Prediction with Machine Learning Pratik Gajane Mykola Pechenizkiy FaML 205 213 0 09 Oct 2017
Decoupled classifiers for fair and efficient machine learning Cynthia Dwork Nicole Immorlica Adam Tauman Kalai Max D. M. Leiserson FaML 77 43 0 20 Jul 2017
On conditional parity as a notion of non-discrimination in machine learning Yaácov Ritov Yuekai Sun Ruofei Zhao 54 40 0 26 Jun 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 168 585 0 08 Jun 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 238 1,588 0 20 Mar 2017
Achieving non-discrimination in prediction Lu Zhang Yongkai Wu Xintao Wu FaML 83 32 0 28 Feb 2017