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"

50 / 177 papers shown

Title
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 21 22 0 27 Aug 2021
FairBalance: How to Achieve Equalized Odds With Data Pre-processing Zhe Yu Joymallya Chakraborty Tim Menzies FaML 28 3 0 17 Jul 2021
Fairness-aware Summarization for Justified Decision-Making Moniba Keymanesh T. Berger-Wolf Micha Elsner S. Parthasarathy 14 5 0 13 Jul 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 13 32 0 10 Jun 2021
Stateful Strategic Regression Keegan Harris Hoda Heidari Zhiwei Steven Wu 17 29 0 07 Jun 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim M. Alabdulmohsin Mario Lucic 19 22 0 06 Jun 2021
Fair Machine Learning under Limited Demographically Labeled Data Mustafa Safa Ozdayi Murat Kantarcioglu Rishabh K. Iyer FaML 13 3 0 03 Jun 2021
Rawlsian Fair Adaptation of Deep Learning Classifiers Kulin Shah Pooja Gupta Amit Deshpande Chiranjib Bhattacharyya FaML 19 12 0 31 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 16 8 0 13 May 2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings Hemank Lamba Kit T. Rodolfa Rayid Ghani OffRL 28 17 0 13 May 2021
Improving Fairness of AI Systems with Lossless De-biasing Yan Zhou Murat Kantarcioglu Chris Clifton 12 12 0 10 May 2021
When Fair Ranking Meets Uncertain Inference Avijit Ghosh Ritam Dutt Christo Wilson 23 44 0 05 May 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning Hantian Zhang Xu Chu Abolfazl Asudeh S. Navathe FaML VLM 13 45 0 13 Mar 2021
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications Nikita Kozodoi Johannes Jacob Stefan Lessmann FaML 17 112 0 02 Mar 2021
Towards Unbiased and Accurate Deferral to Multiple Experts Vijay Keswani Matthew Lease K. Kenthapadi FaML 6 67 0 25 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 6 24 0 05 Feb 2021
Impact of Data Processing on Fairness in Supervised Learning S. Khodadadian AmirEmad Ghassami Negar Kiyavash FaML 8 6 0 03 Feb 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 28 24 0 18 Jan 2021
Provably Training Overparameterized Neural Network Classifiers with Non-convex Constraints You-Lin Chen Zhaoran Wang Mladen Kolar 11 0 0 30 Dec 2020
A Maximal Correlation Approach to Imposing Fairness in Machine Learning Joshua K. Lee Yuheng Bu P. Sattigeri Rameswar Panda G. Wornell Leonid Karlinsky Rogerio Feris FaML 11 15 0 30 Dec 2020
Towards Fair Deep Anomaly Detection Hongjing Zhang Ian Davidson FaML 47 38 0 29 Dec 2020
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective Naman Goel Alfonso Amayuelas Amit Deshpande Ajay Sharma FaML 20 29 0 21 Dec 2020
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy Kit T. Rodolfa Hemank Lamba Rayid Ghani 24 85 0 05 Dec 2020
Towards Auditability for Fairness in Deep Learning Ivoline C. Ngong Krystal Maughan Joseph P. Near FedML 11 3 0 30 Nov 2020
FAIR: Fair Adversarial Instance Re-weighting Andrija Petrović Mladen Nikolic Sandro Radovanović Boris Delibavsić Milovs Jovanović FaML AAML 12 29 0 15 Nov 2020
Mitigating Bias in Set Selection with Noisy Protected Attributes Anay Mehrotra Elisa Celis NoLa 6 58 0 09 Nov 2020
Fair Classification with Group-Dependent Label Noise Jialu Wang Yang Liu Caleb C. Levy NoLa 11 100 0 31 Oct 2020
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification Kenji Kobayashi Yuri Nakao FaML 11 8 0 26 Oct 2020
FaiR-N: Fair and Robust Neural Networks for Structured Data Shubham Sharma Alan H. Gee D. Paydarfar Joydeep Ghosh 24 17 0 13 Oct 2020
Robust Fairness under Covariate Shift Ashkan Rezaei Anqi Liu Omid Memarrast Brian D. Ziebart TTA OOD 6 83 0 11 Oct 2020
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms Gareth Jones James M. Hickey Pietro G. Di Stefano C. Dhanjal Laura C. Stoddart V. Vasileiou FaML 17 19 0 08 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 6 614 0 04 Oct 2020
Towards a Measure of Individual Fairness for Deep Learning Krystal Maughan Joseph P. Near TDI FaML 8 5 0 28 Sep 2020
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm Kirtan Padh Diego Antognini Emma Lejal Glaude Boi Faltings C. Musat FaML 8 30 0 09 Sep 2020
Learning Unbiased Representations via Rényi Minimization Vincent Grari Oualid El Hajouji Sylvain Lamprier Marcin Detyniecki FaML 15 20 0 07 Sep 2020
FairXGBoost: Fairness-aware Classification in XGBoost S. Ravichandran Drona Khurana B. Venkatesh N. Edakunni FaML 12 6 0 03 Sep 2020
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 10 22 0 30 Aug 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 15 108 0 20 Jul 2020
Fairness with Overlapping Groups Forest Yang Moustapha Cissé Oluwasanmi Koyejo FaML 14 21 0 24 Jun 2020
Intra-Processing Methods for Debiasing Neural Networks Yash Savani Colin White G. NaveenSundar 12 43 0 15 Jun 2020
Towards Integrating Fairness Transparently in Industrial Applications Emily Dodwell Cheryl J. Flynn B. Krishnamurthy S. Majumdar Ritwik Mitra 14 0 0 10 Jun 2020
Causal Feature Selection for Algorithmic Fairness Sainyam Galhotra Karthikeyan Shanmugam P. Sattigeri Kush R. Varshney FaML 18 39 0 10 Jun 2020
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 9 9 0 08 Jun 2020
Principal Fairness for Human and Algorithmic Decision-Making Kosuke Imai Zhichao Jiang FaML 13 29 0 21 May 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 12 32 0 06 May 2020
FACT: A Diagnostic for Group Fairness Trade-offs Joon Sik Kim Jiahao Chen Ameet Talwalkar FaML 27 15 0 07 Apr 2020
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret Vishnu Suresh Lokhande A. K. Akash Sathya Ravi Vikas Singh FaML 12 31 0 03 Apr 2020
Fairness by Explicability and Adversarial SHAP Learning James M. Hickey Pietro G. Di Stefano V. Vasileiou FAtt FedML 17 19 0 11 Mar 2020
Counterfactual fairness: removing direct effects through regularization Pietro G. Di Stefano James M. Hickey V. Vasileiou FaML 4 19 0 25 Feb 2020
Learning Fairness-aware Relational Structures Yue Zhang Arti Ramesh FaML 13 7 0 21 Feb 2020