The skyline of counterfactual explanations for machine learning decision models

Counterfactual explanations are minimum changes of a given input to alter the original prediction by a machine learning model, usually from an undesirable prediction to a desirable one. Previous works frame this problem as a constrained cost minimization, where the cost is defined as L1/L2 distance...

Full description

Saved in:
Bibliographic Details
Main Authors: Wang, Yongjie, Ding, Qinxu, Wang, Ke, Liu, Yue, Wu, Xingyu, Wang, Jinglong, Liu, Yong, Miao, Chunyan
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/156946
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Similar Items