Fairness in Machine Learning

31 December 2020

Papers citing "Fairness in Machine Learning"

22 / 72 papers shown

Title
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 21 1 0 13 Sep 2021
Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space Xuyang Shen J. Plested Sabrina Caldwell Tom Gedeon CVBM 114 1 0 23 Aug 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 178 411 0 14 Jul 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White W. Neiswanger 31 65 0 23 Jun 2021
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 29 39 0 23 Jun 2021
Representative & Fair Synthetic Data P. Tiwald Alexandra Ebert Daniel Soukup 19 12 0 07 Apr 2021
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations Marzieh Karimi-Haghighi Carlos Castillo Davinia Hernández Leo Verónica Moreno Oliver FaML 16 6 0 16 Mar 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 13 174 0 25 Jan 2021
Unsupervised Learning of Global Factors in Deep Generative Models I. Peis Pablo Martínez Olmos Antonio Artés-Rodríguez BDL DRL 16 8 0 15 Dec 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards Kawin Ethayarajh Dan Jurafsky ELM 19 51 0 29 Sep 2020
Same-Day Delivery with Fairness Xinwei Chen Tong Wang Barrett W. Thomas M. Ulmer 37 27 0 19 Jul 2020
Fair Performance Metric Elicitation G. Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 26 18 0 23 Jun 2020
Causal intersectionality for fair ranking Ke Yang Joshua R. Loftus Julia Stoyanovich 22 40 0 15 Jun 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 38 51 0 06 Jan 2020
Efficient Fair Principal Component Analysis Mohammad Mahdi Kamani Farzin Haddadpour R. Forsati M. Mahdavi 11 36 0 12 Nov 2019
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach Yeounoh Chung Tim Kraska N. Polyzotis Ki Hyun Tae Steven Euijong Whang 17 129 0 16 Jul 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 312 0 30 Oct 2017
Discriminatory Transfer Chao Lan Jun Huan FaML 202 20 0 03 Jul 2017
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 174 104 0 25 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 223 719 0 12 May 2016