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Rashomon Capacity: A Metric for Predictive Multiplicity in
  Classification

Rashomon Capacity: A Metric for Predictive Multiplicity in Classification

2 June 2022
Hsiang Hsu
Flavio du Pin Calmon
ArXivPDFHTML

Papers citing "Rashomon Capacity: A Metric for Predictive Multiplicity in Classification"

9 / 9 papers shown
Title
The Curious Case of Arbitrariness in Machine Learning
Prakhar Ganesh
Afaf Taik
G. Farnadi
59
2
0
28 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability
A Tale of Two Imperatives: Privacy and Explainability
Supriya Manna
Niladri Sett
91
0
0
30 Dec 2024
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
Francisco Daunas
I. Esnaola
S. Perlaza
H. Vincent Poor
33
2
0
02 Oct 2024
Amazing Things Come From Having Many Good Models
Amazing Things Come From Having Many Good Models
Cynthia Rudin
Chudi Zhong
Lesia Semenova
Margo Seltzer
Ronald E. Parr
Jiachang Liu
Srikar Katta
Jon Donnelly
Harry Chen
Zachery Boner
26
23
0
05 Jul 2024
Predictive Churn with the Set of Good Models
Predictive Churn with the Set of Good Models
J. Watson-Daniels
Flavio du Pin Calmon
Alexander DÁmour
Carol Xuan Long
David C. Parkes
Berk Ustun
81
7
0
12 Feb 2024
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
50
64
0
10 May 2023
Exploring and Interacting with the Set of Good Sparse Generalized
  Additive Models
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
Chudi Zhong
Zhi Chen
Jiachang Liu
Margo Seltzer
Cynthia Rudin
33
11
0
28 Mar 2023
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model
  Multiplicity
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
Kacper Sokol
Meelis Kull
J. Chan
Flora D. Salim
15
6
0
14 Mar 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
317
4,203
0
23 Aug 2019
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