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Fast Feature Selection with Fairness Constraints

28 February 2022

Papers citing "Fast Feature Selection with Fairness Constraints"

33 / 33 papers shown

Title
Adaptive Sampling for Fast Constrained Maximization of Submodular Function Francesco Quinzan Vanja Doskoc Andreas Göbel Tobias Friedrich 84 5 0 12 Feb 2021
Fairness in Streaming Submodular Maximization: Algorithms and Hardness Marwa El Halabi Slobodan Mitrović A. Norouzi-Fard Jakab Tardos Jakub Tarnawski 48 47 0 14 Oct 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 121 337 0 23 Jun 2020
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform Zhenyu Zhao Radhika Anand Mallory Wang 34 165 0 15 Aug 2019
The FAST Algorithm for Submodular Maximization Adam Breuer Eric Balkanski Yaron Singer 72 33 0 14 Jul 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 53 247 0 30 May 2019
Robust Influence Maximization for Hyperparametric Models Dimitris Kalimeris Gal Kaplun Yaron Singer 43 16 0 09 Mar 2019
Fairness in Recommendation Ranking through Pairwise Comparisons Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei ... Lukasz Heldt Zhe Zhao Lichan Hong Ed H. Chi Cristos Goodrow FaML 107 379 0 02 Mar 2019
Non-submodular Function Maximization subject to a Matroid Constraint, with Applications Khashayar Gatmiry Manuel Gomez Rodriguez 59 7 0 19 Nov 2018
Fairness Through Computationally-Bounded Awareness Michael P. Kim Omer Reingold G. Rothblum FaML 87 145 0 08 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 227 1,101 0 06 Mar 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction Nina Grgic-Hlaca Elissa M. Redmiles Krishna P. Gummadi Adrian Weller FaML 67 231 0 26 Feb 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 78 445 0 23 Feb 2018
Fair and Diverse DPP-based Data Summarization L. E. Celis Vijay Keswani D. Straszak Amit Deshpande Tarun Kathuria Nisheeth K. Vishnoi 49 121 0 12 Feb 2018
Perturbative Black Box Variational Inference Robert Bamler Cheng Zhang Manfred Opper Stephan Mandt BDL 60 40 0 21 Sep 2017
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy? Lin Chen Moran Feldman Amin Karbasi 63 47 0 13 Jul 2017
From Parity to Preference-based Notions of Fairness in Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi Adrian Weller FaML 78 208 0 30 Jun 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 115 583 0 08 Jun 2017
Greed is Good: Near-Optimal Submodular Maximization via Greedy Optimization Moran Feldman Christopher Harshaw Amin Karbasi 54 92 0 05 Apr 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 51 998 0 27 Mar 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 224 1,584 0 20 Mar 2017
Restricted Strong Convexity Implies Weak Submodularity Ethan R. Elenberg Rajiv Khanna A. Dimakis S. Negahban 68 159 0 02 Dec 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 201 1,208 0 26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,114 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 230 4,329 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 121 1,775 0 19 Sep 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 201 1,992 0 11 Dec 2014
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints Rishabh K. Iyer J. Bilmes 90 259 0 08 Nov 2013
Complexity Analysis of the Lasso Regularization Path Julien Mairal Bin Yu 226 129 0 01 May 2012
Greedy Sparsity-Constrained Optimization S. Bahmani Bhiksha Raj P. Boufounos 105 197 0 25 Mar 2012
On Learning Discrete Graphical Models Using Greedy Methods A. Jalali Christopher C. Johnson Pradeep Ravikumar 92 102 0 16 Jul 2011
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection Abhimanyu Das David Kempe 199 484 0 19 Feb 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 474 1,379 0 13 Oct 2010