Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

26 October 2016

Muhammad Bilal Zafar

Isabel Valera

Manuel Gomez Rodriguez

Krishna P. Gummadi

FaML

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Papers citing "Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment"

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Title
ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia Aaron L Halfaker R. Geiger AI4TS KELM 30 20 0 11 Sep 2019
Learning Fair Rule Lists Ulrich Aïvodji Julien Ferry Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 18 11 0 09 Sep 2019
Equalizing Recourse across Groups Vivek Gupta Pegah Nokhiz Chitradeep Dutta Roy Suresh Venkatasubramanian FaML 6 68 0 07 Sep 2019
Fairness-Aware Process Mining Mahnaz Sadat Qafari Wil M.P. van der Aalst FaML 18 15 0 28 Aug 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Dylan Slack Sorelle A. Friedler Emile Givental FaML 32 54 0 24 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 370 4,237 0 23 Aug 2019
Data Management for Causal Algorithmic Fairness Babak Salimi B. Howe Dan Suciu CML FaML 27 21 0 20 Aug 2019
Towards Reducing Biases in Combining Multiple Experts Online Yi Sun Iván Díaz Alfredo Cuesta-Infante K. Veeramachaneni FaML 31 0 0 19 Aug 2019
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization Laurent Risser Alberto González Sanz Quentin Vincenot Jean-Michel Loubes 30 21 0 15 Aug 2019
With Malice Towards None: Assessing Uncertainty via Equalized Coverage Yaniv Romano Rina Foygel Barber C. Sabatti Emmanuel J. Candès UQCV 24 73 0 15 Aug 2019
Towards Logical Specification of Statistical Machine Learning Yusuke Kawamoto CML 21 7 0 24 Jul 2019
Achieving Fairness in the Stochastic Multi-armed Bandit Problem Vishakha Patil Ganesh Ghalme V. Nair Y. Narahari FaML 11 115 0 23 Jul 2019
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation Aécio Santos Sonia Castelo Cristian Felix Jorge Piazentin Ono Bowen Yu S. Hong Cláudio T. Silva E. Bertini J. Freire HAI 25 30 0 05 Jul 2019
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 38 101 0 02 Jul 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Niki Kilbertus Philip J. Ball Matt J. Kusner Adrian Weller Ricardo M. A. Silva 25 58 0 01 Jul 2019
Rényi Fair Inference Sina Baharlouei Maher Nouiehed Ahmad Beirami Meisam Razaviyayn FaML 24 66 0 28 Jun 2019
Learning Fair Representations for Kernel Models Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar FaML 35 25 0 27 Jun 2019
Fairness criteria through the lens of directed acyclic graphical models Benjamin R. Baer Daniel E. Gilbert M. Wells FaML 22 6 0 26 Jun 2019
Learning Fair and Transferable Representations L. Oneto Michele Donini Andreas Maurer Massimiliano Pontil FaML 37 19 0 25 Jun 2019
Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution Joel Lehman 20 7 0 24 Jun 2019
Inherent Tradeoffs in Learning Fair Representations Han Zhao Geoffrey J. Gordon FaML 33 213 0 19 Jun 2019
The Price of Local Fairness in Multistage Selection V. Emelianov G. Arvanitakis Nicolas Gast Krishna P. Gummadi P. Loiseau 36 18 0 15 Jun 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 41 85 0 12 Jun 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 30 345 0 11 Jun 2019
ProPublica's COMPAS Data Revisited M. Barenstein FaML 16 50 0 11 Jun 2019
Maximum Weighted Loss Discrepancy Fereshte Khani Aditi Raghunathan Percy Liang 31 16 0 08 Jun 2019
Equalized odds postprocessing under imperfect group information Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern 35 89 0 07 Jun 2019
Does Object Recognition Work for Everyone? Terrance Devries Ishan Misra Changhan Wang Laurens van der Maaten 45 262 0 06 Jun 2019
Near Neighbor: Who is the Fairest of Them All? Sariel Har-Peled S. Mahabadi 8 21 0 06 Jun 2019
Optimized Score Transformation for Consistent Fair Classification Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 24 15 0 31 May 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 35 226 0 31 May 2019
Principal Fairness: Removing Bias via Projections Aris Anagnostopoulos L. Becchetti Adriano Fazzone Cristina Menghini Chris Schwiegelshohn FaML 14 10 0 31 May 2019
Achieving Fairness in Stochastic Multi-armed Bandit Problem Vishakha Patil Ganesh Ghalme V. Nair Y. Narahari FaML 17 5 0 27 May 2019
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 18 784 0 25 May 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
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI) E. Ferrari A. Retico D. Bacciu CML 11 13 0 21 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors Yuchi Tian Ziyuan Zhong Vicente Ordonez Gail E. Kaiser Baishakhi Ray 24 52 0 20 May 2019
Fairness in Machine Learning with Tractable Models Michael Varley Vaishak Belle FaML 28 10 0 16 May 2019
A Human-Centered Approach to Interactive Machine Learning K. Mathewson 24 7 0 15 May 2019
Proportionally Fair Clustering Xingyu Chen Brandon Fain Charles Lyu Kamesh Munagala FedML FaML 23 141 0 09 May 2019
Beyond Personalization: Research Directions in Multistakeholder Recommendation Himan Abdollahpouri G. Adomavicius Robin Burke Ido Guy Dietmar Jannach Toshihiro Kamishima Jan Krasnodebski L. Pizzato 22 41 0 01 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 32 88 0 01 May 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 26 377 0 30 Apr 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality A. Khademi Sanghack Lee David Foley Vasant Honavar FaML 22 95 0 27 Mar 2019
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making S. Aghaei Javad Azizi P. Vayanos FaML 6 176 0 25 Mar 2019
The invisible power of fairness. How machine learning shapes democracy E. Beretta A. Santangelo Bruno Lepri A. Vetrò Juan Carlos De Martin FaML 21 6 0 22 Mar 2019
Multi-Differential Fairness Auditor for Black Box Classifiers Xavier Gitiaux Huzefa Rangwala FaML 24 7 0 18 Mar 2019
Fairness for Robust Log Loss Classification Ashkan Rezaei Rizal Fathony Omid Memarrast Brian Ziebart FaML 29 8 0 10 Mar 2019
Trajectories of Blocked Community Members: Redemption, Recidivism and Departure Jonathan P. Chang Cristian Danescu-Niculescu-Mizil 33 32 0 22 Feb 2019
Capuchin: Causal Database Repair for Algorithmic Fairness Babak Salimi Luke Rodriguez Bill Howe Dan Suciu FaML CML 30 29 0 21 Feb 2019