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1610.07183
Cited By
How to be Fair and Diverse?
23 October 2016
L. E. Celis
Amit Deshpande
Tarun Kathuria
Nisheeth K. Vishnoi
FaML
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Papers citing
"How to be Fair and Diverse?"
32 / 32 papers shown
Title
FAIR-FATE: Fair Federated Learning with Momentum
Teresa Salazar
Miguel X. Fernandes
Helder Araújo
Pedro Abreu
FedML
84
21
0
27 Sep 2022
A Survey on AI Assurance
Feras A. Batarseh
Laura J. Freeman
88
69
0
15 Nov 2021
Algorithm Fairness in AI for Medicine and Healthcare
Richard J. Chen
Tiffany Y. Chen
Jana Lipkova
Judy J. Wang
Drew F. K. Williamson
Ming Y. Lu
S. Sahai
Faisal Mahmood
FaML
150
47
0
01 Oct 2021
A Sociotechnical View of Algorithmic Fairness
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
76
101
0
27 Sep 2021
Diversity in Sociotechnical Machine Learning Systems
S. Fazelpour
Maria De-Arteaga
88
38
0
19 Jul 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
192
212
0
12 Jul 2021
Scalable Projection-Free Optimization
Mingrui Zhang
90
0
0
07 May 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
Lu Cheng
Kush R. Varshney
Huan Liu
FaML
170
153
0
01 Jan 2021
Fairness in Machine Learning: A Survey
Simon Caton
C. Haas
FaML
113
654
0
04 Oct 2020
Finding Fair and Efficient Allocations When Valuations Don't Add Up
Nawal Benabbou
Mithun Chakraborty
Ayumi Igarashi
Yair Zick
59
56
0
16 Mar 2020
Diversity and Inclusion Metrics in Subset Selection
Margaret Mitchell
Dylan K. Baker
Nyalleng Moorosi
Emily L. Denton
Ben Hutchinson
A. Hanna
Timnit Gebru
Jamie Morgenstern
FaML
214
87
0
09 Feb 2020
Interventions for Ranking in the Presence of Implicit Bias
L. E. Celis
Anay Mehrotra
Nisheeth K. Vishnoi
86
65
0
23 Jan 2020
Measuring Diversity of Artificial Intelligence Conferences
Ana Freire
Lorenzo Porcaro
Emilia Gómez
42
28
0
20 Jan 2020
Adaptivity in Adaptive Submodularity
Hossein Esfandiari
Amin Karbasi
Vahab Mirrokni
113
35
0
09 Nov 2019
Representation Learning with Statistical Independence to Mitigate Bias
Ehsan Adeli
Qingyu Zhao
A. Pfefferbaum
E. Sullivan
Li Fei-Fei
Juan Carlos Niebles
K. Pohl
CML
FaML
OOD
95
17
0
08 Oct 2019
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
Piotr Indyk
S. Mahabadi
S. Gharan
A. Rezaei
102
21
0
06 Jul 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
S. Geyik
Stuart Ambler
K. Kenthapadi
115
384
0
30 Apr 2019
Implicit Diversity in Image Summarization
L. E. Celis
Vijay Keswani
110
35
0
29 Jan 2019
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems
Bashir Rastegarpanah
Krishna P. Gummadi
M. Crovella
101
119
0
02 Dec 2018
Correcting the bias in least squares regression with volume-rescaled sampling
Michal Derezinski
Manfred K. Warmuth
Daniel J. Hsu
60
15
0
04 Oct 2018
Balanced News Using Constrained Bandit-based Personalization
Sayash Kapoor
Vijay Keswani
Nisheeth K. Vishnoi
L. E. Celis
60
4
0
24 Jun 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
251
310
0
15 Jun 2018
Leveraged volume sampling for linear regression
Michal Derezinski
Manfred K. Warmuth
Daniel J. Hsu
102
58
0
19 Feb 2018
Multiwinner Voting with Fairness Constraints
L. E. Celis
Lingxiao Huang
Nisheeth K. Vishnoi
58
6
0
27 Oct 2017
Fair Personalization
L. E. Celis
Nisheeth K. Vishnoi
FaML
59
17
0
07 Jul 2017
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan
J. Bryson
Arvind Narayanan
260
2,689
0
25 Aug 2016
On the Complexity of Constrained Determinantal Point Processes
L. E. Celis
Amit Deshpande
Tarun Kathuria
D. Straszak
Nisheeth K. Vishnoi
106
25
0
01 Aug 2016
On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes
Tarun Kathuria
Amit Deshpande
75
17
0
06 Jul 2016
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes
Nima Anari
S. Gharan
A. Rezaei
92
130
0
16 Feb 2016
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Alex Gittens
Michael W. Mahoney
129
416
0
07 Mar 2013
Learning Mixtures of Submodular Shells with Application to Document Summarization
Hui-Ching Lin
J. Bilmes
125
192
0
16 Oct 2012
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
274
1,141
0
25 Jul 2012
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