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1808.10549
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Fair Algorithms for Learning in Allocation Problems
30 August 2018
Hadi Elzayn
S. Jabbari
Christopher Jung
Michael Kearns
Seth Neel
Aaron Roth
Zachary Schutzman
FaML
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Papers citing
"Fair Algorithms for Learning in Allocation Problems"
42 / 42 papers shown
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security
Pegah Nokhiz
Aravinda Kanchana Ruwanpathirana
Aditya Bhaskara
Suresh Venkatasubramanian
303
5
0
10 Apr 2025
AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias
Sribala Vidyadhari Chinta
Sribala Vidyadhari Chinta
Xingyu Zhang
Thang Doan Viet
A. Kashif
Monique Antoinette Smith
Jun Liu
Feiyu Xiong
268
10
0
29 Jul 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Y. Liu
Lu Cheng
FaML
611
7
0
10 Jun 2024
Online Fair Allocation of Perishable Resources
Siddhartha Banerjee
Chamsi Hssaine
Sean R. Sinclair
209
17
0
04 Jun 2024
Resource-constrained Fairness
Sofie Goethals
Eoin Delaney
Brent Mittelstadt
Christopher Russell
FaML
779
1
0
03 Jun 2024
Fair Allocation in Dynamic Mechanism Design
Alireza Fallah
Michael I. Jordan
Annie Ulichney
554
4
0
31 May 2024
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
324
24
0
29 Sep 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
International Conference on Machine Learning (ICML), 2023
Yuancheng Xu
Chenghao Deng
Yanchao Sun
Ruijie Zheng
Xiyao Wang
Jieyu Zhao
Furong Huang
518
7
0
07 Sep 2023
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Hikaru Asano
Ryo Yonetani
Mai Nishimura
Tadashi Kozuno
224
1
0
19 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Nicolò Pagan
Joachim Baumann
Ezzat Elokda
Giulia De Pasquale
S. Bolognani
Anikó Hannák
299
37
0
10 May 2023
Runtime Monitoring of Dynamic Fairness Properties
Conference on Fairness, Accountability and Transparency (FAccT), 2023
T. Henzinger
Mahyar Karimi
Konstantin Kueffner
Kaushik Mallik
237
22
0
08 May 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
International Conference on Learning Representations (ICLR), 2023
Zeyu Tang
Yatong Chen
Yang Liu
Kun Zhang
342
9
0
21 Jan 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
366
7
0
13 Jan 2023
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
AAAI Conference on Artificial Intelligence (AAAI), 2022
Nathanael Jo
Bill Tang
Kathryn Dullerud
S. Aghaei
Eric Rice
P. Vayanos
242
12
0
04 Dec 2022
It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022
Benjamin Fish
Luke Stark
FaML
204
8
0
12 Sep 2022
Network Revenue Management with Demand Learning and Fair Resource-Consumption Balancing
Production and operations management (POM), 2022
Xi Chen
Jiameng Lyu
Yining Wang
Yuan Zhou
248
7
0
22 Jul 2022
Individually Fair Learning with One-Sided Feedback
International Conference on Machine Learning (ICML), 2022
Yahav Bechavod
Aaron Roth
FaML
270
5
0
09 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
ACM Computing Surveys (ACM CSUR), 2022
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
516
39
0
08 Jun 2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
Journal of the American Statistical Association (JASA), 2022
C. Shi
Jin Zhu
Ye Shen
Shuang Luo
Hong Zhu
R. Song
OffRL
473
44
0
22 Feb 2022
Towards Return Parity in Markov Decision Processes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jianfeng Chi
Jian Shen
Xinyi Dai
Weinan Zhang
Yuan Tian
Han Zhao
224
15
0
19 Nov 2021
Fairer LP-based Online Allocation via Analytic Center
Guanting Chen
Xiaocheng Li
Yinyu Ye
FaML
278
8
0
27 Oct 2021
Stacking interventions for equitable outcomes
J. Liley
264
2
0
08 Oct 2021
A Sociotechnical View of Algorithmic Fairness
Information Systems Journal (ISJ), 2021
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
237
139
0
27 Sep 2021
Recommendation Fairness: From Static to Dynamic
De-Fu Zhang
Jun Wang
OffRL
315
16
0
05 Sep 2021
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Shivam Gupta
Ganesh Ghalme
N. C. Krishnan
Shweta Jain
FaML
513
12
0
02 Sep 2021
Cooperative Multi-Agent Fairness and Equivariant Policies
AAAI Conference on Artificial Intelligence (AAAI), 2021
Niko A. Grupen
B. Selman
Daniel D. Lee
FaML
201
15
0
10 Jun 2021
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education?
Kenneth Holstein
Shayan Doroudi
157
68
0
27 Apr 2021
Fair Resource Allocation for Demands with Sharp Lower Tail Inequalities
Operations Research Letters (ORL), 2021
Vacharapat Mettanant
Jittat Fakcharoenphol
126
1
0
29 Jan 2021
Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All?
ACM Transactions on Database Systems (TODS), 2021
Martin Aumüller
Sariel Har-Peled
S. Mahabadi
Rasmus Pagh
Francesco Silvestri
134
17
0
26 Jan 2021
Inherent Trade-offs in the Fair Allocation of Treatments
Yuzi He
Keith Burghardt
Siyi Guo
Kristina Lerman
FaML
138
6
0
30 Oct 2020
Model updating after interventions paradoxically introduces bias
J. Liley
S. Emerson
Bilal A. Mateen
Catalina A Vallejos
L. Aslett
Sebastian J. Vollmer
307
23
0
22 Oct 2020
Fairness in Machine Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2020
Simon Caton
C. Haas
FaML
773
858
0
04 Oct 2020
Fair Influence Maximization: A Welfare Optimization Approach
AAAI Conference on Artificial Intelligence (AAAI), 2020
Aida Rahmattalabi
S. Jabbari
Himabindu Lakkaraju
P. Vayanos
Max Izenberg
Ryan Brown
Eric Rice
Milind Tambe
211
70
0
14 Jun 2020
Algorithms and Learning for Fair Portfolio Design
ACM Conference on Economics and Computation (EC), 2020
Emily Diana
Travis Dick
Hadi Elzayn
Michael Kearns
Aaron Roth
Zachary Schutzman
Saeed Sharifi-Malvajerdi
Juba Ziani
FaML
175
6
0
12 Jun 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
International Conference on Machine Learning (ICML), 2020
Esther Rolf
Max Simchowitz
Sarah Dean
Lydia T. Liu
Daniel Björkegren
Moritz Hardt
J. Blumenstock
281
26
0
15 Mar 2020
Bandit Learning with Delayed Impact of Actions
Neural Information Processing Systems (NeurIPS), 2020
Wei Tang
Chien-Ju Ho
Yang Liu
332
14
0
24 Feb 2020
Individual Fairness for
k
k
k
-Clustering
International Conference on Machine Learning (ICML), 2020
S. Mahabadi
A. Vakilian
FaML
377
99
0
17 Feb 2020
Fair Correlation Clustering
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Sara Ahmadian
Alessandro Epasto
Ravi Kumar
Mohammad Mahdian
FaML
314
77
0
06 Feb 2020
Algorithmic Fairness
Dana Pessach
E. Shmueli
FaML
329
429
0
21 Jan 2020
Near Neighbor: Who is the Fairest of Them All?
Neural Information Processing Systems (NeurIPS), 2019
Sariel Har-Peled
S. Mahabadi
198
23
0
06 Jun 2019
Algorithms for Fairness in Sequential Decision Making
Min Wen
Osbert Bastani
Ufuk Topcu
FaML
268
73
0
24 Jan 2019
Individual Fairness in Hindsight
Swati Gupta
Vijay Kamble
FaML
278
66
0
10 Dec 2018
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