Learning Equivalence Classes of Bayesian Networks Structures

13 February 2013

Papers citing "Learning Equivalence Classes of Bayesian Networks Structures"

33 / 33 papers shown

Title
Practically Effective Adjustment Variable Selection in Causal Inference Atsushi Noda Takashi Isozaki 66 0 0 04 Feb 2025
Causal Inference with Large Language Model: A Survey Jing Ma CML LRM 83 8 0 15 Sep 2024
Towards Automated Causal Discovery: a case study on 5G telecommunication data Konstantina Biza Antonios Ntroumpogiannis Sofia Triantafillou Ioannis Tsamardinos 28 0 0 22 Feb 2024
Online Handbook of Argumentation for AI: Volume 4 Lars Bengel Lydia Blümel Elfia Bezou-Vrakatseli Federico Castagna Giulia DÁgostino ... Daphne Odekerken Fabrizio Russo Stefan Sarkadi Madeleine Waller A. Xydis 20 0 0 20 Dec 2023
Learning nonparametric DAGs with incremental information via high-order HSIC Yafei Wang Jianguo Liu CML 19 0 0 11 Aug 2023
Case Studies of Causal Discovery from IT Monitoring Time Series Ali Aït-Bachir Charles K. Assaad Christophe de Bignicourt Emilie Devijver Simon Ferreira Éric Gaussier Hosein Mohanna Lei Zan CML AI4TS 23 8 0 28 Jul 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 32 72 0 21 May 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Qian Cheng Doyen Sahoo Amrita Saha Wenjing Yang Chenghao Liu Gerald Woo Manpreet Singh Silvio Saverese S. Hoi 32 17 0 10 Apr 2023
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model Mário A. T. Figueiredo Catarina A. Oliveira CML 27 1 0 14 Mar 2023
Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment Abdolmahdi Bagheri Mahdi Dehshiri Yamin Bagheri Alireza Akhondi-Asl Babak Nadjar Araabi 6 4 0 10 Feb 2023
A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes Wenzhuo Yang Kun Zhang S. Hoi AI4TS CML 20 9 0 30 Jun 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Mingming Gong OOD FaML 16 19 0 27 May 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications Marcel Wienöbst Max Bannach Maciej Liskiewicz 16 9 0 05 May 2022
Order-based Structure Learning without Score Equivalence Hyunwoong Chang James Cai Quan Zhou CML OffRL 16 3 0 10 Feb 2022
A survey of Bayesian Network structure learning N. K. Kitson Anthony C. Constantinou Zhi-gao Guo Yang Liu Kiattikun Chobtham CML 18 181 0 23 Sep 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 16 5 0 08 Jun 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 10 136 0 26 Feb 2021
A Tutorial on Learning With Bayesian Networks David Heckerman CML 21 3,513 0 01 Feb 2020
Causality-based Feature Selection: Methods and Evaluations Kui Yu Xianjie Guo Lin Liu Jiuyong Li Hao Wang Zhaolong Ling Xindong Wu CML 16 92 0 17 Nov 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 28 332 0 30 Jan 2019
Efficient Sampling and Structure Learning of Bayesian Networks Jack Kuipers Polina Suter G. Moffa TPM CML 13 69 0 21 Mar 2018
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling R. Rahmadi P. Groot Marieke HC van Rijn Jan AJG van den Brand M. Heins H. Knoop Tom Heskes CML 19 15 0 22 May 2016
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 39 128 0 09 Jul 2015
Parametric Modelling of Multivariate Count Data Using Probabilistic Graphical Models P. Fernique Jean-Baptiste Durand Y. Guédon 34 0 0 16 Dec 2013
SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure Eliot Brenner David Sontag 49 41 0 26 Sep 2013
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman D. Geiger D. M. Chickering TPM 43 3,969 0 27 Feb 2013
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 216 626 0 20 Feb 2013
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 151 416 0 20 Feb 2013
Enumerating Markov Equivalence Classes of Acyclic Digraph Models S. Gillispie M. Perlman 63 102 0 10 Jan 2013
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables F. Eberhardt Clark Glymour R. Scheines 44 152 0 04 Jul 2012
Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data Jean Honorio Luis E. Ortiz CML 30 40 0 16 Jun 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 43 420 0 14 Apr 2011
Markov equivalence for ancestral graphs R. A. Ali Thomas S. Richardson Peter Spirtes 104 111 0 25 Aug 2009