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Principled Approaches for Learning to Defer with Multiple Experts

Principled Approaches for Learning to Defer with Multiple Experts

23 October 2023
Anqi Mao
M. Mohri
Yutao Zhong
ArXivPDFHTML

Papers citing "Principled Approaches for Learning to Defer with Multiple Experts"

7 / 7 papers shown
Title
Top-$k$ Classification and Cardinality-Aware Prediction
Top-kkk Classification and Cardinality-Aware Prediction
Anqi Mao
M. Mohri
Yutao Zhong
28
7
0
28 Mar 2024
$H$-Consistency Guarantees for Regression
HHH-Consistency Guarantees for Regression
Anqi Mao
M. Mohri
Yutao Zhong
31
9
0
28 Mar 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi
Roberto Pellungrini
Mattia Setzu
F. Giannotti
D. Pedreschi
25
5
0
09 Feb 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based
  Multi-Class Abstention
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
Anqi Mao
M. Mohri
Yutao Zhong
24
22
0
23 Oct 2023
Reinforcement Learning Under Algorithmic Triage
Reinforcement Learning Under Algorithmic Triage
Eleni Straitouri
Adish Singla
Vahid Balazadeh Meresht
Manuel Gomez Rodriguez
OffRL
26
16
0
23 Sep 2021
Human-AI Collaboration with Bandit Feedback
Human-AI Collaboration with Bandit Feedback
Ruijiang Gao
M. Saar-Tsechansky
Maria De-Arteaga
Ligong Han
Min Kyung Lee
Matthew Lease
51
49
0
22 May 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
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