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Rényi Fair Inference

Rényi Fair Inference

28 June 2019
Sina Baharlouei
Maher Nouiehed
Ahmad Beirami
Meisam Razaviyayn
    FaML
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Papers citing "Rényi Fair Inference"

14 / 14 papers shown
Title
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Anan Kabaha
Dana Drachsler-Cohen
AAML
48
0
0
23 Feb 2025
On the Inductive Biases of Demographic Parity-based Fair Learning
  Algorithms
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
Haoyu Lei
Amin Gohari
Farzan Farnia
FaML
35
1
0
28 Feb 2024
PRECISION: Decentralized Constrained Min-Max Learning with Low
  Communication and Sample Complexities
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities
Zhuqing Liu
Xin Zhang
Songtao Lu
Jia-Wei Liu
40
7
0
05 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust
  Optimization
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
Sangwon Jung
Taeeon Park
Sanghyuk Chun
Taesup Moon
11
19
0
01 Mar 2023
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
83
38
0
21 Sep 2022
Understanding Instance-Level Impact of Fairness Constraints
Understanding Instance-Level Impact of Fairness Constraints
Jialu Wang
Qing Guo
Yang Liu
TDI
FaML
28
33
0
30 Jun 2022
A Fair Pricing Model via Adversarial Learning
A Fair Pricing Model via Adversarial Learning
Vincent Grari
Arthur Charpentier
Marcin Detyniecki
29
13
0
24 Feb 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited
Attainability and Optimality: The Equalized Odds Fairness Revisited
Zeyu Tang
Kun Zhang
FaML
21
11
0
24 Feb 2022
Fair for All: Best-effort Fairness Guarantees for Classification
Fair for All: Best-effort Fairness Guarantees for Classification
A. Krishnaswamy
Zhihao Jiang
Kangning Wang
Yu Cheng
Kamesh Munagala
FaML
20
10
0
18 Dec 2020
A Distributionally Robust Approach to Fair Classification
A Distributionally Robust Approach to Fair Classification
Bahar Taşkesen
Viet Anh Nguyen
Daniel Kuhn
Jose H. Blanchet
FaML
28
61
0
18 Jul 2020
Non-convex Min-Max Optimization: Applications, Challenges, and Recent
  Theoretical Advances
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
Meisam Razaviyayn
Tianjian Huang
Songtao Lu
Maher Nouiehed
Maziar Sanjabi
Mingyi Hong
19
108
0
15 Jun 2020
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved
  Complexities
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities
Zhongruo Wang
Krishnakumar Balasubramanian
Shiqian Ma
Meisam Razaviyayn
21
25
0
22 Jan 2020
Fair Resource Allocation in Federated Learning
Fair Resource Allocation in Federated Learning
Tian Li
Maziar Sanjabi
Ahmad Beirami
Virginia Smith
FedML
18
781
0
25 May 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
675
0
17 Feb 2018
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