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2004.05167
Cited By
Individual Fairness in Pipelines
Symposium on Foundations of Responsible Computing (FRC), 2020
12 April 2020
Cynthia Dwork
Christina Ilvento
Meena Jagadeesan
FaML
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Papers citing
"Individual Fairness in Pipelines"
23 / 23 papers shown
Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System
Julian Collado
Kevin Stangl
AAML
247
0
0
30 Oct 2024
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
AAAI Conference on Artificial Intelligence (AAAI), 2023
Kate Donahue
Sreenivas Gollapudi
Kostas Kollias
444
8
0
22 Aug 2023
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification
James Atwood
Tina Tian
Ben Packer
Meghana Deodhar
Jilin Chen
Alex Beutel
Flavien Prost
Ahmad Beirami
FaML
248
2
0
11 Jul 2023
Sequential Strategic Screening
International Conference on Machine Learning (ICML), 2023
Lee Cohen
Saeed Sharifi-Malvajerd
Kevin Stangl
A. Vakilian
Juba Ziani
287
8
0
31 Jan 2023
Learning Antidote Data to Individual Unfairness
International Conference on Machine Learning (ICML), 2022
Peizhao Li
Ethan Xia
Hongfu Liu
FedML
FaML
437
11
0
29 Nov 2022
Fairness-aware Model-agnostic Positive and Unlabeled Learning
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Ziwei Wu
Jingrui He
FaML
288
16
0
19 Jun 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
392
15
0
10 May 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling
Algorithmic Game Theory (AGT), 2022
April Niu
Agnes Totschnig
A. Vetta
FaML
185
5
0
13 Apr 2022
Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Avrim Blum
Kevin Stangl
A. Vakilian
176
10
0
14 Mar 2022
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Kate Donahue
Alexandra Chouldechova
K. Kenthapadi
FaML
FedML
361
70
0
17 Feb 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions
International Conference on Information and Knowledge Management (CIKM), 2022
Bhavya Ghai
Mihir A. Mishra
Klaus Mueller
210
10
0
08 Feb 2022
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FaML
300
25
0
26 Oct 2021
Achieving Counterfactual Fairness for Causal Bandit
Wen Huang
Lu Zhang
Xintao Wu
CML
432
32
0
21 Sep 2021
Fair Decision-Making for Food Inspections
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2021
Shubham Singh
Bhuvni Shah
Chris Kanich
Ian A. Kash
283
12
0
12 Aug 2021
Fairness Through Counterfactual Utilities
Journal of Artificial Intelligence Research (JAIR), 2021
Jack Blandin
Ian A. Kash
FaML
345
3
0
11 Aug 2021
Multiaccurate Proxies for Downstream Fairness
Conference on Fairness, Accountability and Transparency (FAccT), 2021
Emily Diana
Wesley Gill
Michael Kearns
K. Kenthapadi
Aaron Roth
Saeed Sharifi-Malvajerdi
358
23
0
09 Jul 2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
Chloé Bakalar
Renata Barreto
Stevie Bergman
Miranda Bogen
Bobbie Chern
...
J. Simons
Jonathan Tannen
Edmund Tong
Kate Vredenburgh
Jiejing Zhao
FaML
336
29
0
10 Mar 2021
Fair and Optimal Cohort Selection for Linear Utilities
Konstantina Bairaktari
Huy Le Nguyen
Jonathan R. Ullman
FaML
223
3
0
15 Feb 2021
Fairness Constraints in Semi-supervised Learning
Tao Zhang
Tianqing Zhu
Mengde Han
Jing Li
Wanlei Zhou
Philip S. Yu
FaML
271
8
0
14 Sep 2020
Beyond Individual and Group Fairness
Pranjal Awasthi
Corinna Cortes
Yishay Mansour
M. Mohri
FaML
360
26
0
21 Aug 2020
Fairness Under Feature Exemptions: Counterfactual and Observational Measures
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Sanghamitra Dutta
Praveen Venkatesh
Piotr (Peter) Mardziel
Anupam Datta
P. Grover
364
21
0
14 Jun 2020
Learning Certified Individually Fair Representations
Neural Information Processing Systems (NeurIPS), 2020
Anian Ruoss
Mislav Balunović
Marc Fischer
Martin Vechev
FaML
334
106
0
24 Feb 2020
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
IEEE Transactions on Image Processing (TIP), 2020
Vahid Mirjalili
S. Raschka
Arun Ross
PICV
CVBM
285
125
0
02 Jan 2020
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