Adjacency-Faithfulness and Conservative Causal Inference

27 June 2012

Papers citing "Adjacency-Faithfulness and Conservative Causal Inference"

50 / 56 papers shown

Title
CauSkelNet: Causal Representation Learning for Human Behaviour Analysis Xingrui Gu Chuyi Jiang Erte Wang Zekun Wu Qiang Cui Leimin Tian Lianlong Wu Siyang Song CML 152 1 0 01 Jul 2025
ExMAG: Learning of Maximally Ancestral Graphs Petr Rysavý Pavel Rytíř Xiaoyu He Georgios Korpas Georgios Korpas CML 158 0 0 11 Mar 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning Jiaru Zhang Rui Ding Qiang Fu Bojun Huang Zizhen Deng Yang Hua Haibing Guan Shi Han Dongmei Zhang CML 77 0 0 15 Feb 2025
Recursive Causal Discovery Ehsan Mokhtarian Sepehr Elahi S. Akbari Negar Kiyavash CML 77 2 0 14 Mar 2024
Bootstrap aggregation and confidence measures to improve time series causal discovery Kevin Debeire Jakob Runge Andreas Gerhardus Berlin CML AI4TS 58 7 0 15 Jun 2023
Foundations of Causal Discovery on Groups of Variables Jonas Wahl Urmi Ninad Jakob Runge CML 71 11 0 12 Jun 2023
Causal Razors Wai-yin Lam CML 65 0 0 20 Feb 2023
Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks Shuai Liu Xiao Guo S. Qi Huan Wang Xiangyu Chang FedML 70 2 0 06 Jan 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 119 11 0 07 Nov 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound Kiattikun Chobtham Anthony C. Constantinou CML BDL 65 2 0 11 Jun 2022
Greedy Relaxations of the Sparsest Permutation Algorithm Wai-yin Lam Bryan Andrews Joseph Ramsey 82 48 0 11 Jun 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 2022
Ordinal Causal Discovery Yang Ni Bani Mallick CML 66 2 0 19 Jan 2022
ML4C: Seeing Causality Through Latent Vicinity Haoyue Dai Rui Ding Yuanyuan Jiang Shi Han Dongmei Zhang OOD 76 13 0 01 Oct 2021
A survey of Bayesian Network structure learning N. K. Kitson Anthony C. Constantinou Zhi-gao Guo Yang Liu Kiattikun Chobtham CML 106 198 0 23 Sep 2021
Definite Non-Ancestral Relations and Structure Learning Wenyu Chen Mathias Drton Ali Shojaie CML 47 1 0 20 May 2021
Conditions and Assumptions for Constraint-based Causal Structure Learning Kayvan Sadeghi Terry Soo CML 75 6 0 24 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 147 305 0 03 Mar 2021
Integer Programming for Causal Structure Learning in the Presence of Latent Variables Rui Chen S. Dash Tian Gao CML 86 15 0 05 Feb 2021
A Weaker Faithfulness Assumption based on Triple Interactions Alexander Marx Arthur Gretton Joris M. Mooij 86 15 0 27 Oct 2020
High-recall causal discovery for autocorrelated time series with latent confounders Andreas Gerhardus J. Runge CML AI4TS 98 102 0 03 Jul 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs Ignavier Ng AmirEmad Ghassami Kun Zhang CML 87 189 0 17 Jun 2020
Stable Prediction via Leveraging Seed Variable Kun Kuang Yangqiu Song Peng Cui Yue Liu Jianrong Tao Yueting Zhuang Leilei Gan OOD CML 48 5 0 09 Jun 2020
Bayesian network structure learning with causal effects in the presence of latent variables Kiattikun Chobtham Anthony C. Constantinou CML BDL 41 18 0 29 May 2020
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data Anthony C. Constantinou Yang Liu Kiattikun Chobtham Zhi-gao Guo N. K. Kitson CML 73 63 0 18 May 2020
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets Jakob Runge 95 195 0 07 Mar 2020
Towards Robust Relational Causal Discovery Sanghack Lee Vasant Honavar 72 9 0 05 Dec 2019
Ordering-Based Causal Structure Learning in the Presence of Latent Variables D. Bernstein Basil Saeed C. Squires Caroline Uhler CML 64 42 0 20 Oct 2019
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions Zhalama Zhalama Jiji Zhang F. Eberhardt W. Mayer Mark Junjie Li 31 7 0 06 Jun 2019
Evaluating structure learning algorithms with a balanced scoring function Anthony C. Constantinou CML 89 18 0 29 May 2019
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data Erdun Gao Kun Zhang Ruben Sanchez-Romero Joseph Ramsey Madelyn Glymour Clark Glymour CML 91 15 0 27 Jan 2019
A Comparison of Public Causal Search Packages on Linear, Gaussian Data with No Latent Variables Joseph Ramsey Bryan Andrews CML 43 15 0 13 Sep 2017
Comparative Benchmarking of Causal Discovery Techniques Karamjit Singh Garima Gupta Vartika Tewari Gautam M. Shroff CML 112 13 0 18 Aug 2017
Mixed Graphical Models for Causal Analysis of Multi-modal Variables A. Sedgewick Joseph Ramsey Peter Spirtes Clark Glymour P. Benos CML 27 10 0 09 Apr 2017
Semi-parametric Network Structure Discovery Models Amir Dezfouli Edwin V. Bonilla Richard Nock 20 1 0 27 Feb 2017
Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms Liam Solus Yuhao Wang Caroline Uhler CML 132 79 0 12 Feb 2017
Faithfulness of Probability Distributions and Graphs Kayvan Sadeghi 100 41 0 29 Jan 2017
Improving Accuracy and Scalability of the PC Algorithm by Maximizing P-value Joseph Ramsey 51 14 0 03 Oct 2016
Evaluating Causal Models by Comparing Interventional Distributions Dan Garant David D. Jensen CML 134 12 0 16 Aug 2016
Ancestral Causal Inference Sara Magliacane Tom Claassen Joris M. Mooij CML 116 63 0 22 Jun 2016
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 57 15 0 22 May 2016
Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning Sanghack Lee Vasant Honavar 33 6 0 10 Aug 2015
Causality on Cross-Sectional Data: Stable Specification Search in Constrained Structural Equation Modeling R. Rahmadi P. Groot M. Heins H. Knoop Tom Heskes CML 88 18 0 18 Jun 2015
A fast PC algorithm for high dimensional causal discovery with multi-core PCs T. Le Tao Hoang Jiuyong Li Lin Liu Huawen Liu 134 146 0 09 Feb 2015
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets Sofia Triantafillou Ioannis Tsamardinos CML 152 151 0 10 Mar 2014
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 160 326 0 06 Oct 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 157 577 0 26 Sep 2013
Learning directed acyclic graphs based on sparsest permutations Garvesh Raskutti Caroline Uhler CML 146 37 0 01 Jul 2013
Structural Intervention Distance (SID) for Evaluating Causal Graphs J. Peters Peter Buhlmann CML 111 40 0 05 Jun 2013
Order-independent constraint-based causal structure learning Diego Colombo Marloes H. Maathuis CML 154 607 0 14 Nov 2012