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Explaining Preferences with Shapley Values
v1v2 (latest)

Explaining Preferences with Shapley Values

26 May 2022
Robert Hu
Siu Lun Chau
Jaime Ferrando Huertas
Dino Sejdinovic
    TDIFAtt
ArXiv (abs)PDFHTML

Papers citing "Explaining Preferences with Shapley Values"

4 / 4 papers shown
Title
FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions
FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions
Daniel Marta
Simon Holk
Miguel Vasco
Jens Lundell
Timon Homberger
F. L. Busch
Olov Andersson
Danica Kragic
Iolanda Leite
127
1
0
14 Apr 2025
Looping in the Human Collaborative and Explainable Bayesian Optimization
Looping in the Human Collaborative and Explainable Bayesian Optimization
Masaki Adachi
Brady Planden
David A. Howey
Michael A. Osborne
Sebastian Orbell
Natalia Ares
Krikamol Maundet
Siu Lun Chau
91
14
0
26 Oct 2023
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process
  Models
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
Siu Lun Chau
Krikamol Muandet
Dino Sejdinovic
FAtt
93
16
0
24 May 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,164
0
16 Feb 2016
1