Causality Learning: A New Perspective for Interpretable Machine Learning

27 June 2020

Papers citing "Causality Learning: A New Perspective for Interpretable Machine Learning"

8 / 8 papers shown

Title
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 37 7 0 26 Mar 2023
Navigating causal deep learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML 41 2 0 01 Dec 2022
Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance Satyam Kumar V. Ravi 11 1 0 19 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 26 62 0 29 Jul 2022
When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints Mahmoud Shoush Marlon Dumas 32 12 0 15 Jun 2022
Causal Learning for Socially Responsible AI Lu Cheng Ahmadreza Mosallanezhad Paras Sheth Huan Liu 71 13 0 25 Apr 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,684 0 28 Feb 2017