On Fairness and Calibration

6 September 2017

Papers citing "On Fairness and Calibration"

34 / 184 papers shown

Title
Fair Data Adaptation with Quantile Preservation Drago Plečko N. Meinshausen 14 30 0 15 Nov 2019
Efficient Fair Principal Component Analysis Mohammad Mahdi Kamani Farzin Haddadpour R. Forsati M. Mahdavi 13 36 0 12 Nov 2019
Auditing and Achieving Intersectional Fairness in Classification Problems Giulio Morina V. Oliinyk J. Waton Ines Marusic K. Georgatzis FaML 19 39 0 04 Nov 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 349 4,237 0 23 Aug 2019
The Role of Cooperation in Responsible AI Development Amanda Askell Miles Brundage Gillian Hadfield 33 60 0 10 Jul 2019
Learning Fair and Transferable Representations L. Oneto Michele Donini Andreas Maurer Massimiliano Pontil FaML 37 19 0 25 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 47 543 0 21 Jun 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 19 85 0 12 Jun 2019
Non-Parametric Calibration for Classification Jonathan Wenger Hedvig Kjellström Rudolph Triebel UQCV 45 79 0 12 Jun 2019
Maximum Weighted Loss Discrepancy Fereshte Khani Aditi Raghunathan Percy Liang 23 16 0 08 Jun 2019
Does Object Recognition Work for Everyone? Terrance Devries Ishan Misra Changhan Wang Laurens van der Maaten 45 262 0 06 Jun 2019
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems Adel Abusitta Esma Aïmeur Omar Abdel Wahab AI4CE GAN 16 20 0 23 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 24 88 0 01 May 2019
Learning Fair Representations via an Adversarial Framework Rui Feng Yang Yang Yuehan Lyu Chenhao Tan Yizhou Sun Chunping Wang FaML 25 55 0 30 Apr 2019
Calibration of Encoder Decoder Models for Neural Machine Translation Aviral Kumar Sunita Sarawagi 27 98 0 03 Mar 2019
Fairness in Recommendation Ranking through Pairwise Comparisons Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei ... Lukasz Heldt Zhe Zhao Lichan Hong Ed H. Chi Cristos Goodrow FaML 36 373 0 02 Mar 2019
Stable and Fair Classification Lingxiao Huang Nisheeth K. Vishnoi FaML 24 71 0 21 Feb 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 36 83 0 29 Jan 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 14 281 0 15 Jan 2019
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Allison Woodruff Christine Luu Pierre Kreitmann Jonathan Bischof Ed H. Chi FaML 30 150 0 14 Jan 2019
Bias Mitigation Post-processing for Individual and Group Fairness P. Lohia Karthikeyan N. Ramamurthy M. Bhide Diptikalyan Saha Kush R. Varshney Ruchir Puri FaML 13 155 0 14 Dec 2018
Eliminating Latent Discrimination: Train Then Mask Soheil Ghili Ehsan Kazemi Amin Karbasi FaML 27 9 0 12 Nov 2018
A General Framework for Fair Regression Jack K. Fitzsimons AbdulRahman Al Ali Michael A. Osborne Stephen J. Roberts FaML 25 37 0 10 Oct 2018
From Soft Classifiers to Hard Decisions: How fair can we be? R. Canetti A. Cohen Nishanth Dikkala Govind Ramnarayan Sarah Scheffler Adam D. Smith FaML 6 59 0 03 Oct 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 65 796 0 03 Oct 2018
Active Fairness in Algorithmic Decision Making Alejandro Noriega-Campero Michiel A. Bakker Bernardo Garcia-Bulle Alex Pentland FaML 19 85 0 28 Sep 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 66 302 0 15 Jun 2018
Causal Interventions for Fairness Matt J. Kusner Chris Russell Joshua R. Loftus Ricardo M. A. Silva FaML 24 14 0 06 Jun 2018
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification Michael P. Kim Amirata Ghorbani James Zou MLAU 25 336 0 31 May 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 24 439 0 23 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 236 676 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016
Learning Optimized Risk Scores Berk Ustun Cynthia Rudin 17 82 0 01 Oct 2016
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015