Fairer and More Accurate Tabular Models Through NAS

18 October 2023

Papers citing "Fairer and More Accurate Tabular Models Through NAS"

22 / 22 papers shown

Title
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 124 1 0 28 Feb 2024
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Samuel Dooley R. Sukthanker John P. Dickerson Colin White Frank Hutter Micah Goldblum CVBM 107 23 0 18 Oct 2022
A Deep Dive into Dataset Imbalance and Bias in Face Identification Valeriia Cherepanova Steven Reich Samuel Dooley Hossein Souri Micah Goldblum Tom Goldstein 32 9 0 15 Mar 2022
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 89 25 0 23 Jun 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 126 772 0 22 Jun 2021
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning Mei Wang Weihong Deng CVBM 96 233 0 25 Nov 2019
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 150 375 0 20 Sep 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 126 1,283 0 26 Aug 2019
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 99 561 0 18 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search Yuhui Xu Lingxi Xie Xiaopeng Zhang Xin Chen Guo-Jun Qi Qi Tian H. Xiong 113 610 0 12 Jul 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices Manish Raghavan Solon Barocas Jon M. Kleinberg K. Levy MLAU FaML 82 531 0 21 Jun 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 105 1,877 0 02 Dec 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 206 4,375 0 24 Jun 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 230 1,105 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 82 445 0 23 Feb 2018
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth FaML 109 648 0 13 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 117 2,770 0 09 Feb 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 202 784 0 14 Nov 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 487 5,385 0 05 Nov 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 240 2,336 0 21 Mar 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 212 1,996 0 11 Dec 2014