A Logical Characterization of Constraint-Based Causal Discovery

14 February 2012

Papers citing "A Logical Characterization of Constraint-Based Causal Discovery"

20 / 20 papers shown

Title
Multi-omic Causal Discovery using Genotypes and Gene Expression Stephen Asiedu David Watson CML 47 0 0 21 May 2025
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data Adèle H. Ribeiro Dominik Heider CML 75 0 0 10 May 2025
Local Causal Structure Learning in the Presence of Latent Variables Feng Xie Zheng Li Peng Wu Yan Zeng Chunchen Liu Zhi Geng CML 90 2 0 25 May 2024
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems Trang Nguyen Alexander Tong Kanika Madan Yoshua Bengio Dianbo Liu 73 4 0 05 Oct 2023
Local Causal Discovery for Estimating Causal Effects Shantanu Gupta David Benjamin Childers Zachary Chase Lipton CML 70 12 0 16 Feb 2023
Causal discovery under a confounder blanket David S. Watson Ricardo M. A. Silva CML 46 3 0 11 May 2022
Local Constraint-Based Causal Discovery under Selection Bias Philip Versteeg Cheng Zhang Joris M. Mooij CML 55 14 0 03 Mar 2022
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
A Local Method for Identifying Causal Relations under Markov Equivalence Zhuangyan Fang Yue Liu Z. Geng Shengyu Zhu Yangbo He CML 57 13 0 25 Feb 2021
Large-Scale Local Causal Inference of Gene Regulatory Relationships I. G. Bucur Tom Claassen Tom Heskes CML 25 6 0 03 Sep 2019
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks I. G. Bucur T. V. Bussel Tom Claassen Tom Heskes CML 18 1 0 18 Sep 2018
Using Noisy Extractions to Discover Causal Knowledge Dhanya Sridhar Jay Pujara Lise Getoor 37 1 0 16 Nov 2017
Ancestral Causal Inference Sara Magliacane Tom Claassen Joris M. Mooij CML 126 63 0 22 Jun 2016
From dependency to causality: a machine learning approach Gianluca Bontempi M. Flauder CML 47 30 0 19 Dec 2014
Proof Supplement - Learning Sparse Causal Models is not NP-hard (UAI2013) Tom Claassen Joris M. Mooij Tom Heskes CML 56 2 0 06 Nov 2014
Learning Sparse Causal Models is not NP-hard Tom Claassen Joris Mooij Tom Heskes CML 112 120 0 26 Sep 2013
Reasoning about Independence in Probabilistic Models of Relational Data Marc E. Maier Katerina Marazopoulou David D. Jensen 69 34 0 18 Feb 2013
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables Antti Hyttinen F. Eberhardt P. Hoyer CML 103 15 0 16 Oct 2012
A Bayesian Approach to Constraint Based Causal Inference Tom Claassen Tom Heskes TPM 121 100 0 16 Oct 2012