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Inherent Trade-Offs in the Fair Determination of Risk Scores

19 September 2016

Papers citing "Inherent Trade-Offs in the Fair Determination of Risk Scores"

47 / 747 papers shown

Title
Incomplete Contracting and AI Alignment Dylan Hadfield-Menell Gillian Hadfield 63 83 0 12 Apr 2018
Unleashing Linear Optimizers for Group-Fair Learning and Optimization Daniel Alabi Nicole Immorlica Adam Tauman Kalai FedML FaML 73 27 0 11 Apr 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 133 885 0 23 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 156 508 0 13 Mar 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
Probably Approximately Metric-Fair Learning G. Rothblum G. Yona FaML FedML 80 86 0 08 Mar 2018
Fairness Through Computationally-Bounded Awareness Michael P. Kim Omer Reingold G. Rothblum FaML 99 146 0 08 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 236 1,108 0 06 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
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 97 341 0 22 Feb 2018
Online Learning with an Unknown Fairness Metric Stephen Gillen Christopher Jung Michael Kearns Aaron Roth FaML 73 144 0 20 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 388 685 0 17 Feb 2018
Fair Clustering Through Fairlets Flavio Chierichetti Ravi Kumar Silvio Lattanzi Sergei Vassilvitskii FaML 85 439 0 15 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
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 209 1,400 0 22 Jan 2018
Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment Chelsea Barabas Karthik Dinakar Joichi Ito M. Virza Jonathan Zittrain 124 144 0 21 Dec 2017
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport Meike Zehlike P. Hacker Emil Wiedemann 54 19 0 21 Dec 2017
Paradoxes in Fair Computer-Aided Decision Making Andrew Morgan R. Pass FaML 59 9 0 29 Nov 2017
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
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 210 221 0 17 Nov 2017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 211 785 0 14 Nov 2017
Calibration of Machine Learning Classifiers for Probability of Default Modelling Pedro G. Fonseca Hugo D. Lopes 32 10 0 24 Oct 2017
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation S. Tan R. Caruana Giles Hooker Yin Lou MLAU 148 188 0 17 Oct 2017
Spectral Algorithms for Computing Fair Support Vector Machines Matt Olfat A. Aswani FaML 75 33 0 16 Oct 2017
Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups Janis Kalofolias Mario Boley Jilles Vreeken 52 6 0 22 Sep 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 232 885 0 06 Sep 2017
The impossibility of "fairness": a generalized impossibility result for decisions Thomas Miconi 66 27 0 05 Jul 2017
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations Alex Beutel Jilin Chen Zhe Zhao Ed H. Chi FaML 121 442 0 01 Jul 2017
Fairer and more accurate, but for whom? Alexandra Chouldechova M. G'Sell 89 63 0 30 Jun 2017
Penalizing Unfairness in Binary Classification Yahav Bechavod Katrina Ligett FaML 95 69 0 30 Jun 2017
From Parity to Preference-based Notions of Fairness in Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi Adrian Weller FaML 104 208 0 30 Jun 2017
On Fairness, Diversity and Randomness in Algorithmic Decision Making Nina Grgic-Hlaca Muhammad Bilal Zafar Krishna P. Gummadi Adrian Weller FaML 64 41 0 30 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
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 146 342 0 07 Jun 2017
Bayesian fairness Christos Dimitrakakis Yang Liu David C. Parkes Goran Radanović FaML 40 0 0 31 May 2017
Optimized Data Pre-Processing for Discrimination Prevention Flavio du Pin Calmon Dennis L. Wei Karthikeyan N. Ramamurthy Kush R. Varshney 77 60 0 11 Apr 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 66 1,001 0 27 Mar 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 238 1,588 0 20 Mar 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 99 474 0 11 Nov 2016
Fairness in Reinforcement Learning S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 79 203 0 09 Nov 2016
Fair Algorithms for Infinite and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FedML FaML 93 56 0 29 Oct 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 217 1,218 0 26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 368 2,133 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,344 0 07 Oct 2016
The Crossover Process: Learnability and Data Protection from Inference Attacks Richard Nock Giorgio Patrini Finnian Lattimore Tibério S. Caetano 32 0 0 13 Jun 2016
Auditing Black-box Models for Indirect Influence Philip Adler Casey Falk Sorelle A. Friedler Gabriel Rybeck C. Scheidegger Brandon Smith Suresh Venkatasubramanian TDI MLAU 176 293 0 23 Feb 2016