Why Is My Classifier Discriminatory?

30 May 2018

Papers citing "Why Is My Classifier Discriminatory?"

27 / 77 papers shown

Title
Improving the Fairness of Deep Generative Models without Retraining Shuhan Tan Yujun Shen Bolei Zhou 183 59 0 09 Dec 2020
Person Perception Biases Exposed: Revisiting the First Impressions Dataset Julio C. S. Jacques Junior Àgata Lapedriza Cristina Palmero Xavier Baro Sergio Escalera 27 11 0 30 Nov 2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP John Chen Ian Berlot-Attwell Safwan Hossain Xindi Wang Frank Rudzicz FaML 37 7 0 19 Nov 2020
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 25 190 0 03 Nov 2020
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation Hong Shen Wesley Hanwen Deng Aditi Chattopadhyay Zhiwei Steven Wu Xu Wang Haiyi Zhu 27 63 0 22 Oct 2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 37 49 0 25 Sep 2020
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 27 372 0 22 Sep 2020
Learning Centric Power Allocation for Edge Intelligence Shuai Wang Rui Wang Qi Hao Yik-Chung Wu H. Vincent Poor 17 9 0 21 Jul 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 33 108 0 20 Jul 2020
Predicting Court Decisions for Alimony: Avoiding Extra-legal Factors in Decision made by Judges and Not Understandable AI Models Fabrice Muhlenbach Long Nguyen Phuoc Isabelle Sayn 25 3 0 09 Jul 2020
Understanding collections of related datasets using dependent MMD coresets Sinead Williamson Jette Henderson 26 5 0 24 Jun 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 27 40 0 15 Jun 2020
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models Ki Hyun Tae Steven Euijong Whang 28 39 0 10 Mar 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 37 285 0 14 Feb 2020
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions Kit T. Rodolfa E. Salomon Lauren Haynes Iván Higuera Mendieta Jamie L Larson Rayid Ghani 22 46 0 24 Jan 2020
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare Natalia Martínez Martín Bertrán Guillermo Sapiro 19 25 0 16 Nov 2019
Machine Intelligence at the Edge with Learning Centric Power Allocation Shuai Wang Yik-Chung Wu Minghua Xia Rui Wang H. Vincent Poor 35 66 0 12 Nov 2019
On Second-Order Group Influence Functions for Black-Box Predictions S. Basu Xuchen You S. Feizi TDI 33 68 0 01 Nov 2019
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning Vishwali Mhasawade N. Rehman R. Chunara OOD 30 9 0 24 Aug 2019
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 35 69 0 24 Jun 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 36 120 0 19 Jun 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 24 242 0 30 May 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 14 73 0 15 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
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
Direct Uncertainty Prediction for Medical Second Opinions M. Raghu Katy Blumer Rory Sayres Ziad Obermeyer Robert D. Kleinberg S. Mullainathan Jon M. Kleinberg OOD UD 27 136 0 04 Jul 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016