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1806.06055
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Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
15 June 2018
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
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Papers citing
"Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees"
50 / 189 papers shown
Fairness for Robust Learning to Rank
Omid Memarrast
Ashkan Rezaei
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97
13
0
12 Dec 2021
Fairness for AUC via Feature Augmentation
H. Fong
Vineet Kumar
Anay Mehrotra
Nisheeth K. Vishnoi
171
14
0
24 Nov 2021
Interpretable and Fair Boolean Rule Sets via Column Generation
Connor Lawless
S. Dash
Oktay Gunluk
Dennis L. Wei
FaML
262
14
0
16 Nov 2021
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization
Bhanu Jain
Manfred Huber
R. Elmasri
111
3
0
05 Nov 2021
Fair Enough: Searching for Sufficient Measures of Fairness
ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
Suvodeep Majumder
Joymallya Chakraborty
Gina R. Bai
Kathryn T. Stolee
Tim Menzies
184
37
0
25 Oct 2021
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Sharat Agarwal
Sumanyu Muku
Saket Anand
Chetan Arora
158
14
0
20 Oct 2021
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
471
520
0
04 Oct 2021
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
Haewon Jeong
Hao Wang
Flavio du Pin Calmon
FaML
213
45
0
21 Sep 2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making
Yi Yang
Ying Nian Wu
Mei Li
Xiangyu Chang
Yong Tan
FaML
273
0
0
21 Sep 2021
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
271
20
0
20 Sep 2021
MPC-Friendly Commitments for Publicly Verifiable Covert Security
Nitin Agrawal
James Bell
Adria Gascon
Matt J. Kusner
205
7
0
15 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations
Hadis Anahideh
Nazanin Nezami
Abolfazl Asudeh
157
1
0
13 Sep 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Vincent Grari
Sylvain Lamprier
Marcin Detyniecki
126
36
0
10 Sep 2021
Feature-based Individual Fairness in k-Clustering
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Debajyoti Kar
Mert Kosan
Debmalya Mandal
Sourav Medya
A. Silva
P. Dey
Swagato Sanyal
FaML
251
12
0
09 Sep 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes
Conference on Fairness, Accountability and Transparency (FAccT), 2021
Alan Mishler
Edward H. Kennedy
FaML
181
24
0
01 Sep 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Scientific Reports (Sci Rep), 2021
Stephen Pfohl
Haoran Zhang
Yizhe Xu
Agata Foryciarz
Marzyeh Ghassemi
N. Shah
OOD
286
24
0
27 Aug 2021
FairBalance: How to Achieve Equalized Odds With Data Pre-processing
IEEE Transactions on Software Engineering (TSE), 2021
Zhe Yu
Joymallya Chakraborty
Tim Menzies
FaML
367
7
0
17 Jul 2021
Fairness-aware Summarization for Justified Decision-Making
Moniba Keymanesh
T. Berger-Wolf
Micha Elsner
Srinivasan Parthasarathy
166
6
0
13 Jul 2021
Fair Classification with Adversarial Perturbations
Neural Information Processing Systems (NeurIPS), 2021
L. E. Celis
Anay Mehrotra
Nisheeth K. Vishnoi
FaML
254
33
0
10 Jun 2021
Stateful Strategic Regression
Neural Information Processing Systems (NeurIPS), 2021
Keegan Harris
Hoda Heidari
Zhiwei Steven Wu
126
32
0
07 Jun 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models
Neural Information Processing Systems (NeurIPS), 2021
Ibrahim Alabdulmohsin
Mario Lucic
195
22
0
06 Jun 2021
Fair Machine Learning under Limited Demographically Labeled Data
Mustafa Safa Ozdayi
Murat Kantarcioglu
Rishabh K. Iyer
FaML
147
3
0
03 Jun 2021
Rawlsian Fair Adaptation of Deep Learning Classifiers
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Kulin Shah
Pooja Gupta
Amit Deshpande
Chiranjib Bhattacharyya
FaML
157
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
186
9
0
13 May 2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings
SIGKDD Explorations (SIGKDD Explor.), 2021
Hemank Lamba
Kit T. Rodolfa
Rayid Ghani
OffRL
118
18
0
13 May 2021
Improving Fairness of AI Systems with Lossless De-biasing
Yan Zhou
Murat Kantarcioglu
Chris Clifton
95
12
0
10 May 2021
When Fair Ranking Meets Uncertain Inference
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Avijit Ghosh
Ritam Dutt
Christo Wilson
243
50
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
163
48
0
13 Mar 2021
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications
European Journal of Operational Research (EJOR), 2021
Nikita Kozodoi
Johannes Jacob
Stefan Lessmann
FaML
206
144
0
02 Mar 2021
Towards Unbiased and Accurate Deferral to Multiple Experts
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Vijay Keswani
Matthew Lease
K. Kenthapadi
FaML
151
82
0
25 Feb 2021
Removing biased data to improve fairness and accuracy
Sahil Verma
Michael Ernst
René Just
FaML
226
28
0
05 Feb 2021
Impact of Data Processing on Fairness in Supervised Learning
International Symposium on Information Theory (ISIT), 2021
S. Khodadadian
AmirEmad Ghassami
Negar Kiyavash
FaML
127
8
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
304
30
0
18 Jan 2021
Provably Training Overparameterized Neural Network Classifiers with Non-convex Constraints
Electronic Journal of Statistics (EJS), 2020
You-Lin Chen
Zhaoran Wang
Mladen Kolar
192
0
0
30 Dec 2020
A Maximal Correlation Approach to Imposing Fairness in Machine Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Joshua K. Lee
Yuheng Bu
P. Sattigeri
Yikang Shen
G. Wornell
Leonid Karlinsky
Rogerio Feris
FaML
124
17
0
30 Dec 2020
Towards Fair Deep Anomaly Detection
Conference on Fairness, Accountability and Transparency (FAccT), 2020
Hongjing Zhang
Ian Davidson
FaML
255
41
0
29 Dec 2020
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2020
Naman Goel
Alfonso Amayuelas
Amit Deshpande
Ajay Sharma
FaML
210
35
0
21 Dec 2020
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy
Nature Machine Intelligence (NMI), 2020
Kit T. Rodolfa
Hemank Lamba
Rayid Ghani
224
108
0
05 Dec 2020
Towards Auditability for Fairness in Deep Learning
Ivoline C. Ngong
Krystal Maughan
Joseph P. Near
FedML
190
3
0
30 Nov 2020
FAIR: Fair Adversarial Instance Re-weighting
Neurocomputing (Neurocomputing), 2020
Andrija Petrović
Mladen Nikolic
Sandro Radovanović
Boris Delibavsić
Milovs Jovanović
FaML
AAML
159
38
0
15 Nov 2020
Fair Classification with Group-Dependent Label Noise
Conference on Fairness, Accountability and Transparency (FAccT), 2020
Jialu Wang
Yang Liu
Caleb C. Levy
NoLa
309
108
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
220
8
0
26 Oct 2020
FaiR-N: Fair and Robust Neural Networks for Structured Data
Sanjay Kariyappa
Alan H. Gee
D. Paydarfar
Joydeep Ghosh
254
20
0
13 Oct 2020
Robust Fairness under Covariate Shift
AAAI Conference on Artificial Intelligence (AAAI), 2020
Ashkan Rezaei
Anqi Liu
Omid Memarrast
Brian Ziebart
TTA
OOD
306
90
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
114
22
0
08 Oct 2020
Fairness in Machine Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2020
Simon Caton
C. Haas
FaML
524
803
0
04 Oct 2020
Towards a Measure of Individual Fairness for Deep Learning
Krystal Maughan
Joseph P. Near
TDI
FaML
166
6
0
28 Sep 2020
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Kirtan Padh
Diego Antognini
Emma Lejal Glaude
Boi Faltings
C. Musat
FaML
252
37
0
09 Sep 2020
Learning Unbiased Representations via Rényi Minimization
Vincent Grari
Oualid El Hajouji
Sylvain Lamprier
Marcin Detyniecki
FaML
154
24
0
07 Sep 2020
FairXGBoost: Fairness-aware Classification in XGBoost
S. Ravichandran
Drona Khurana
B. Venkatesh
N. Edakunni
FaML
122
9
0
03 Sep 2020
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