Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

15 June 2018

Papers citing "Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees"

27 / 177 papers shown

Title
To Split or Not to Split: The Impact of Disparate Treatment in Classification Hao Wang Hsiang Hsu Mario Díaz Flavio du Pin Calmon 13 23 0 12 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 14 46 0 24 Jan 2020
Interventions for Ranking in the Presence of Implicit Bias L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi 24 64 0 23 Jan 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 46 51 0 06 Jan 2020
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models Lizhen Liang Daniel Ernesto Acuna 22 13 0 15 Dec 2019
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks Mahum Naseer M. Minhas Faiq Khalid Muhammad Abdullah Hanif Osman Hasan Muhammad Shafique AAML 33 17 0 03 Dec 2019
Value-laden Disciplinary Shifts in Machine Learning Ravit Dotan S. Milli AILaw 25 48 0 03 Dec 2019
Fair Adversarial Gradient Tree Boosting Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 19 33 0 13 Nov 2019
Fairness-Aware Neural Réyni Minimization for Continuous Features Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki 14 26 0 12 Nov 2019
Assessing Social and Intersectional Biases in Contextualized Word Representations Y. Tan Elisa Celis FaML 21 223 0 04 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
Predictive Multiplicity in Classification Charles Marx Flavio du Pin Calmon Berk Ustun 28 136 0 14 Sep 2019
Learning Fair Rule Lists Ulrich Aïvodji Julien Ferry Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 16 10 0 09 Sep 2019
Quantifying Infra-Marginality and Its Trade-off with Group Fairness Arpita Biswas Siddharth Barman Amit Deshpande Amit Sharma 17 3 0 03 Sep 2019
Towards Reducing Biases in Combining Multiple Experts Online Yi Sun Iván Díaz Alfredo Cuesta-Infante K. Veeramachaneni FaML 23 0 0 19 Aug 2019
Rényi Fair Inference Sina Baharlouei Maher Nouiehed Ahmad Beirami Meisam Razaviyayn FaML 16 66 0 28 Jun 2019
Coresets for Clustering with Fairness Constraints Lingxiao Huang S. Jiang Nisheeth K. Vishnoi 19 101 0 20 Jun 2019
Data preprocessing to mitigate bias: A maximum entropy based approach L. E. Celis Vijay Keswani Nisheeth K. Vishnoi 18 2 0 05 Jun 2019
Optimized Score Transformation for Consistent Fair Classification Dennis L. Wei K. Ramamurthy Flavio du Pin Calmon 16 15 0 31 May 2019
Fairness for Robust Log Loss Classification Ashkan Rezaei Rizal Fathony Omid Memarrast Brian D. Ziebart FaML 21 8 0 10 Mar 2019
Stable and Fair Classification Lingxiao Huang Nisheeth K. Vishnoi FaML 24 71 0 21 Feb 2019
Improved Adversarial Learning for Fair Classification L. E. Celis Vijay Keswani FaML 21 44 0 29 Jan 2019
Implicit Diversity in Image Summarization L. E. Celis Vijay Keswani 16 33 0 29 Jan 2019
Fair Algorithms for Clustering Suman Kalyan Bera Deeparnab Chakrabarty Nicolas J. Flores Maryam Negahbani FaML FedML 22 229 0 08 Jan 2019
Balanced News Using Constrained Bandit-based Personalization Sayash Kapoor Vijay Keswani Nisheeth K. Vishnoi L. E. Celis 22 4 0 24 Jun 2018
Fair Personalization L. E. Celis Nisheeth K. Vishnoi FaML 28 17 0 07 Jul 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 0 24 Oct 2016