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Asymptotically Fair Participation in Machine Learning Models: an Optimal
  Control Perspective

Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective

16 November 2023
Zhuotong Chen
Qianxiao Li
Zheng Zhang
    FaML
ArXivPDFHTML

Papers citing "Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective"

7 / 7 papers shown
Title
Towards Robust Neural Networks via Close-loop Control
Towards Robust Neural Networks via Close-loop Control
Zhuotong Chen
Qianxiao Li
Zheng Zhang
OOD
AAML
44
25
0
03 Feb 2021
ProPublica's COMPAS Data Revisited
ProPublica's COMPAS Data Revisited
M. Barenstein
FaML
44
51
0
11 Jun 2019
Augmented Neural ODEs
Augmented Neural ODEs
Emilien Dupont
Arnaud Doucet
Yee Whye Teh
BDL
139
628
0
02 Apr 2019
A Mean-Field Optimal Control Formulation of Deep Learning
A Mean-Field Optimal Control Formulation of Deep Learning
Weinan E
Jiequn Han
Qianxiao Li
OOD
95
185
0
03 Jul 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
448
19,006
0
20 Jul 2017
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
215
4,305
0
07 Oct 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
189
1,984
0
11 Dec 2014
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