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Fair Active Learning: Solving the Labeling Problem in Insurance

Fair Active Learning: Solving the Labeling Problem in Insurance

17 December 2021
Romuald Elie
Caroline Hillairet
Franccois Hu
Marc Juillard
    FaML
ArXivPDFHTML

Papers citing "Fair Active Learning: Solving the Labeling Problem in Insurance"

13 / 13 papers shown
Title
Reinforcement learning
Reinforcement learning
Florentin Wörgötter
55
2,569
0
16 May 2024
Active Learning with Expected Error Reduction
Active Learning with Expected Error Reduction
Stephen Mussmann
Julia Reisler
Daniel Tsai
Ehsan Mousavi
S. O'Brien
M. Goldszmidt
UQCV
BDL
66
10
0
17 Nov 2022
Can Active Learning Preemptively Mitigate Fairness Issues?
Can Active Learning Preemptively Mitigate Fairness Issues?
Frederic Branchaud-Charron
Parmida Atighehchian
Pau Rodríguez
Grace Abuhamad
Alexandre Lacoste
FaML
26
20
0
14 Apr 2021
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
155
183
0
19 Oct 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and
  Challenges
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TS
AI4CE
64
400
0
19 Oct 2020
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
75
1,129
0
30 Aug 2020
Fair Active Learning
Fair Active Learning
Hadis Anahideh
Abolfazl Asudeh
Saravanan Thirumuruganathan
FaML
52
52
0
06 Jan 2020
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary
  Classification
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
L. Oneto
Massimiliano Pontil
FaML
126
85
0
12 Jun 2019
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
63
658
0
09 May 2019
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
130
1,094
0
06 Mar 2018
Empirical Risk Minimization under Fairness Constraints
Empirical Risk Minimization under Fairness Constraints
Michele Donini
L. Oneto
Shai Ben-David
John Shawe-Taylor
Massimiliano Pontil
FaML
71
443
0
23 Feb 2018
Less is more: sampling chemical space with active learning
Less is more: sampling chemical space with active learning
Justin S. Smith
B. Nebgen
Nicholas Lubbers
Olexandr Isayev
A. Roitberg
49
607
0
28 Jan 2018
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
296
33,445
0
16 Oct 2013
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