DoWhy-GCM: An extension of DoWhy for causal inference in graphical
causal models

DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models

14 June 2022

Patrick Blobaum

Kailash Budhathoki

Atalanti A. Mastakouri

Dominik Janzing

Papers citing "DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models"

6 / 6 papers shown

Title
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis Hiroshi Yokoyama Ryusei Shingaki Kaneharu Nishino Shohei Shimizu Thong Pham CML 80 0 0 11 Nov 2024
Zero-Shot Learning of Causal Models Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 42 1 0 08 Oct 2024
Towards Automated Causal Discovery: a case study on 5G telecommunication data Konstantina Biza Antonios Ntroumpogiannis Sofia Triantafillou Ioannis Tsamardinos 31 0 0 22 Feb 2024
Root Cause Explanation of Outliers under Noisy Mechanisms Phuoc Nguyen T. Tran Sunil R. Gupta Thin Nguyen Svetha Venkatesh CML 22 1 0 19 Dec 2023
Beyond Single-Feature Importance with ICECREAM M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 38 1 0 19 Jul 2023
Toward Falsifying Causal Graphs Using a Permutation-Based Test Elias Eulig Atalanti A. Mastakouri Patrick Blobaum Michael W. Hardt Dominik Janzing 20 8 0 16 May 2023