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Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions

Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions

1 November 2021
Prateek Yadav
Peter Hase
Joey Tianyi Zhou
ArXivPDFHTML

Papers citing "Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions"

5 / 5 papers shown
Title
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
26
164
0
20 Oct 2020
On the Fairness of Causal Algorithmic Recourse
On the Fairness of Causal Algorithmic Recourse
Julius von Kügelgen
Amir-Hossein Karimi
Umang Bhatt
Isabel Valera
Adrian Weller
Bernhard Schölkopf
FaML
80
82
0
13 Oct 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models
ViCE: Visual Counterfactual Explanations for Machine Learning Models
Oscar Gomez
Steffen Holter
Jun Yuan
E. Bertini
AAML
59
93
0
05 Mar 2020
BRPO: Batch Residual Policy Optimization
BRPO: Batch Residual Policy Optimization
Kentaro Kanamori
Yinlam Chow
Takuya Takagi
Hiroki Arimura
Honglak Lee
Ken Kobayashi
Craig Boutilier
OffRL
141
46
0
08 Feb 2020
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
176
1,125
0
25 Jul 2012
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