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Papers
Learning Causal Markov Boundaries with Mixed Observational and Experimental Data
PGM 2024
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract)
IJCAI 2023
Practical Markov Boundary Learning without Strong Assumptions
AAAI 2023
Causal and interventional Markov boundaries
UAI 2021
Efficient Bayesian network structure learning via local Markov boundary search
NeurIPS 2021
Causal inference in degenerate systems: An impossibility result
AISTATS 2020
Markov Blanket and Markov Boundary of Multiple Variables
JMLR 2018
Grounding Abstract Spatial Concepts for Language Interaction with Robots
IJCAI 2017
Algorithms for Discovery of Multiple Markov Boundaries
JMLR 2013
Toward Provably Correct Feature Selection in Arbitrary Domains
NeurIPS 2009