Manabu Kuroki

According to our database, Manabu Kuroki authored at least 22 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable.

Yuta Kawakami, Manabu Kuroki, Jin Tian

CoRR, 2024

2023

An unbiased estimator of the causal effect on the variance based on the back-door criterion in Gaussian linear structural equation models.

Taiki Tezuka, Manabu Kuroki

J. Multivar. Anal., 2023

Instrumental Variable Estimation of Average Partial Causal Effects.

Yuta Kawakami, Manabu Kuroki, Jin Tian

Proceedings of the International Conference on Machine Learning, 2023

Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information.

Ryusei Shingaki, Manabu Kuroki

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance.

Yuta Kawakami, Ryusei Shingaki, Manabu Kuroki

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Partially adaptive regularized multiple regression analysis for estimating linear causal effects.

Hisayoshi Nanmo, Manabu Kuroki

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Exact variance formula for the estimated mean outcome with external intervention based on the front-door criterion in Gaussian linear structural equation models.

Hisayoshi Nanmo, Manabu Kuroki

J. Multivar. Anal., 2021

Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information.

Ryusei Shingaki, Manabu Kuroki

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2017

Learning Causal Graphs with Latent Confounders in Weak Faithfulness Violations.

Takashi Isozaki, Manabu Kuroki

New Gener. Comput., 2017

2015

Learning Maximal Ancestral Graphs with Robustness for Faithfulness Violations.

Takashi Isozaki, Manabu Kuroki

Proceedings of the Advanced Methodologies for Bayesian Networks, 2015

2014

On Estimating Causal Effects based on Supplemental Variables.

Takahiro Hayashi, Manabu Kuroki

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2012

The Evaluation of Causal Effects in Studies with an Unobserved Exposure/Outcome Variable: Bounds and Identification

Manabu Kuroki, Zhihong Cai

CoRR, 2012

Identification of Causal Effects in Linear SEMs using the Instrumental Variable Function.

Hei Chan, Manabu Kuroki

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2012

2010

Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs.

Hei Chan, Manabu Kuroki

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2008

On Identifying Total Effects in the Presence of Latent Variables and Selection bias.

Zhihong Cai, Manabu Kuroki

Proceedings of the UAI 2008, 2008

2007

Evaluation of the Causal Effect of Control Plans in Nonrecursive Structural Equation Models.

Manabu Kuroki, Zhihong Cai

Proceedings of the UAI 2007, 2007

2006

Stratified Analysis of 'Probabilities of Causation'.

Manabu Kuroki, Zhihong Cai

Proceedings of the UAI '06, 2006

2005

The Graphical Identification for Total Effects by using Surrogate Variables.

Manabu Kuroki, Zhihong Cai, Hiroki Motogaito

Proceedings of the UAI '05, 2005

Counterfactual Reasoning in Linear Structural Equation Models.

Zhihong Cai, Manabu Kuroki

Proceedings of the UAI '05, 2005

Instrumental variable tests for Directed Acyclic Graph Models.

Manabu Kuroki, Zhihong Cai

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Selection of Identifiability Criteria for Total Effects by using Path Diagrams.

Manabu Kuroki, Zhihong Cai

Proceedings of the UAI '04, 2004

2003

The Joint Causal Effect in Linear Structural Equation Model and Its Application to Process Analysis.

Manabu Kuroki, Zhihong Cai

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003