Avoiding Discrimination through Causal Reasoning

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Avoiding Discrimination through Causal Reasoning

8 June 2017

Mateo Rojas-Carulla

Giambattista Parascandolo

Dominik Janzing

Bernhard Schölkopf

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Papers citing "Avoiding Discrimination through Causal Reasoning"

12 / 312 papers shown

Title
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
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning Hao Wang Berk Ustun Flavio du Pin Calmon FaML 73 11 0 16 Jan 2018
Calibration for the (Computationally-Identifiable) Masses Úrsula Hébert-Johnson Michael P. Kim Omer Reingold G. Rothblum FaML 91 88 0 22 Nov 2017
Does mitigating ML's impact disparity require treatment disparity? Zachary Chase Lipton Alexandra Chouldechova Julian McAuley 80 16 0 19 Nov 2017
Conditional Variance Penalties and Domain Shift Robustness C. Heinze-Deml N. Meinshausen OOD VLM 82 4 0 31 Oct 2017
On Formalizing Fairness in Prediction with Machine Learning Pratik Gajane Mykola Pechenizkiy FaML 205 213 0 09 Oct 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 230 883 0 06 Sep 2017
Proxy Non-Discrimination in Data-Driven Systems Anupam Datta Matt Fredrikson Gihyuk Ko Piotr (Peter) Mardziel S. Sen 33 47 0 25 Jul 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 52 40 0 26 Jun 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 238 1,588 0 20 Mar 2017