A Convex Framework for Fair Regression

7 June 2017

Hoda Heidari

Papers citing "A Convex Framework for Fair Regression"

50 / 184 papers shown

Title
Obstructing Classification via Projection P. Haghighatkhah Wouter Meulemans Bettina Speckmann Jérôme Urhausen Kevin Verbeek 22 6 0 19 May 2021
Achieving Fairness with a Simple Ridge Penalty M. Scutari F. Panero M. Proissl FaML 11 13 0 18 May 2021
Accounting for Model Uncertainty in Algorithmic Discrimination Junaid Ali Adish Singla Krishna P. Gummadi FaML 15 21 0 10 May 2021
Transitioning from Real to Synthetic data: Quantifying the bias in model Aman Gupta Deepak L. Bhatt Anubha Pandey 17 17 0 10 May 2021
Pairwise Fairness for Ordinal Regression Matthäus Kleindessner Samira Samadi Muhammad Bilal Zafar K. Kenthapadi Chris Russell FaML 20 9 0 07 May 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification Haochen Liu Wei Jin Hamid Karimi Zitao Liu Jiliang Tang 6 30 0 06 May 2021
When Fair Ranking Meets Uncertain Inference Avijit Ghosh Ritam Dutt Christo Wilson 28 44 0 05 May 2021
Implementing Fair Regression In The Real World Boris Ruf Marcin Detyniecki 20 1 0 09 Apr 2021
Fairness-aware Outlier Ensemble Haoyu Liu Fenglong Ma Shibo He Jiming Chen Jing Gao 8 3 0 17 Mar 2021
Constrained Learning with Non-Convex Losses Luiz F. O. Chamon Santiago Paternain Miguel Calvo-Fullana Alejandro Ribeiro 11 33 0 08 Mar 2021
A Stochastic Optimization Framework for Fair Risk Minimization Andrew Lowy Sina Baharlouei Rakesh Pavan Meisam Razaviyayn Ahmad Beirami FaML 22 21 0 24 Feb 2021
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem Adarsh Barik Jean Honorio FaML 11 7 0 19 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 11 24 0 05 Feb 2021
Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness P. Lohia 16 6 0 31 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 22 145 0 01 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 243 488 0 31 Dec 2020
Stochastic Compositional Gradient Descent under Compositional Constraints Srujan Teja Thomdapu Harsh Vardhan K. Rajawat 13 12 0 17 Dec 2020
FairOD: Fairness-aware Outlier Detection Shubhranshu Shekhar Neil Shah L. Akoglu 29 36 0 05 Dec 2020
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness Tong Wang M. Saar-Tsechansky 23 11 0 17 Nov 2020
Equitable Allocation of Healthcare Resources with Fair Cox Models Kamrun Naher Keya Rashidul Islam Shimei Pan I. Stockwell James R. Foulds 12 9 0 14 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 19 614 0 04 Oct 2020
A Primal-Dual Subgradient Approachfor Fair Meta Learning Chenxu Zhao Feng Chen Zhuoyi Wang Latifur Khan FaML 14 0 0 26 Sep 2020
Unfairness Discovery and Prevention For Few-Shot Regression Chengli Zhao Feng Chen 6 22 0 23 Sep 2020
Fair Meta-Learning For Few-Shot Classification Chengli Zhao Changbin Li Jincheng Li Feng Chen FaML 19 26 0 23 Sep 2020
Rank-Based Multi-task Learning for Fair Regression Chen Zhao Feng Chen FaML 11 31 0 23 Sep 2020
The Fairness-Accuracy Pareto Front Susan Wei Marc Niethammer FaML 42 33 0 25 Aug 2020
A minimax framework for quantifying risk-fairness trade-off in regression Evgenii Chzhen Nicolas Schreuder FaML 28 31 0 28 Jul 2020
Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing Yi Zhang Jitao Sang 12 55 0 27 Jul 2020
Same-Day Delivery with Fairness Xinwei Chen Tong Wang Barrett W. Thomas M. Ulmer 37 27 0 19 Jul 2020
Grading video interviews with fairness considerations A. Singhania Abhishek Unnam V. Aggarwal 25 6 0 02 Jul 2020
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org Soumajyoti Sarkar Hamidreza Alvari 9 11 0 20 Jun 2020
Intra-Processing Methods for Debiasing Neural Networks Yash Savani Colin White G. NaveenSundar 12 43 0 15 Jun 2020
Fair Influence Maximization: A Welfare Optimization Approach Aida Rahmattalabi S. Jabbari Himabindu Lakkaraju P. Vayanos Max Izenberg Ryan Brown Eric Rice Milind Tambe 15 2 0 14 Jun 2020
Fair Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 6 99 0 12 Jun 2020
Differentially Private Stochastic Coordinate Descent Georgios Damaskinos Celestine Mendler-Dünner R. Guerraoui N. Papandreou Thomas Parnell 11 11 0 12 Jun 2020
Probably Approximately Correct Constrained Learning Luiz F. O. Chamon Alejandro Ribeiro 9 37 0 09 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 13 38 0 26 May 2020
Statistical Equity: A Fairness Classification Objective Ninareh Mehrabi Yuzhong Huang Fred Morstatter FaML 12 10 0 14 May 2020
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Caroline Linjun Wang Bin Han Bhrij Patel Cynthia Rudin FaML HAI 59 84 0 08 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 29 371 0 30 Apr 2020
Genetic programming approaches to learning fair classifiers William La Cava J. Moore FaML 8 19 0 28 Apr 2020
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 6 8 0 10 Mar 2020
Teaching the Old Dog New Tricks: Supervised Learning with Constraints F. Detassis M. Lombardi M. Milano 22 27 0 25 Feb 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 24 118 0 21 Feb 2020
Convex Fairness Constrained Model Using Causal Effect Estimators Hikaru Ogura Akiko Takeda 6 2 0 16 Feb 2020
Fast Fair Regression via Efficient Approximations of Mutual Information D. Steinberg Alistair Reid S. O'Callaghan Finnian Lattimore L. McCalman Tibério S. Caetano FaML 6 16 0 14 Feb 2020
Deontological Ethics By Monotonicity Shape Constraints S. Wang Maya R. Gupta 13 21 0 31 Jan 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 24 387 0 21 Jan 2020
Fairness Measures for Regression via Probabilistic Classification D. Steinberg Alistair Reid S. O'Callaghan FaML 13 13 0 16 Jan 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 37 51 0 14 Jan 2020