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Papers
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects
AAAI 2025
Identification in Tree-shaped Linear Structural Causal Models
AISTATS 2022
Intervention target estimation in the presence of latent variables
UAI 2022
Partially adaptive regularized multiple regression analysis for estimating linear causal effects
UAI 2022
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery
AAAI 2022
Robust identifiability in linear structural equation models of causal inference
UAI 2022
Inference of causal effects when control variables are unknown
UAI 2021
Scalable Intervention Target Estimation in Linear Models
NeurIPS 2021
Testing Independence Between Linear Combinations for Causal Discovery
AAAI 2021
Stability of Linear Structural Equation Models of Causal Inference
UAI 2019
Identification and Overidentification of Linear Structural Equation Models
NeurIPS 2016
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation
JMLR 2014
Statistical test for consistent estimation of causal effects in linear non-Gaussian models
AISTATS 2012