On Root Cause Localization and Anomaly Mitigation through Causal
Inference

On Root Cause Localization and Anomaly Mitigation through Causal Inference

8 December 2022

Shuhan Yuan

Papers citing "On Root Cause Localization and Anomaly Mitigation through Causal Inference"

14 / 14 papers shown

Title
Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops Charles K. Assaad Imad Ez-zejjari Lei Zan AI4TS 29 18 0 07 Mar 2023
Achieving Counterfactual Fairness for Anomaly Detection Xiao Han Lu Zhang Yongkai Wu Shuhan Yuan 19 7 0 04 Mar 2023
A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes Wenzhuo Yang Kun Zhang Guosheng Lin AI4TS CML 54 9 0 30 Jun 2022
Framing Algorithmic Recourse for Anomaly Detection Debanjan Datta F. Chen Naren Ramakrishnan 53 5 0 29 Jun 2022
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Pablo Sánchez-Martín Miriam Rateike Isabel Valera CML BDL 46 14 0 27 Oct 2021
DoWhy: An End-to-End Library for Causal Inference Amit Sharma Emre Kıcıman CML 34 160 0 09 Nov 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 64 790 0 24 Sep 2020
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure John Sipple 35 53 0 12 Jul 2020
Explainable Deep One-Class Classification Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Marius Kloft Klaus-Robert Muller 32 198 0 03 Jul 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera CML 94 179 0 11 Jun 2020
Causal structure based root cause analysis of outliers Dominik Janzing Kailash Budhathoki Lenon Minorics Patrick Blobaum CML 43 64 0 05 Dec 2019
A Graph Autoencoder Approach to Causal Structure Learning Ignavier Ng Shengyu Zhu Zhitang Chen Zhuangyan Fang BDL CML 44 82 0 18 Nov 2019
Learning Model-Agnostic Counterfactual Explanations for Tabular Data Martin Pawelczyk Johannes Haug Klaus Broelemann Gjergji Kasneci OOD CML 58 203 0 21 Oct 2019
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models Jacob R. Kauffmann K. Müller G. Montavon DRL 64 96 0 16 May 2018

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