Kento Uemura

According to our database, Kento Uemura authored at least 10 papers between 2011 and 2024.

Collaborative distances:

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

2024

DCDILP: a distributed learning method for large-scale causal structure learning.

Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi

CoRR, 2024

2023

An Iterative Analysis Method Using Causal Discovery Algorithms to Enhance ABM as a Policy Tool.

Shuang Chang, Takashi Kato, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi

Proceedings of the Winter Simulation Conference, 2023

2022

High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition.

Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag

CoRR, 2022

Incorporating AI Methods in Micro-dynamic Analysis to Support Group-Specific Policy-Making.

Shuang Chang, Tatsuya Asai, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi, Kotaro Ohori

Proceedings of the PRIMA 2022: Principles and Practice of Multi-Agent Systems, 2022

A Multivariate Causal Discovery based on Post-Nonlinear Model.

Kento Uemura, Takuya Takagi, Kambayashi Takayuki, Hiroyuki Yoshida, Shohei Shimizu

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization.

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Estimation of Post-Nonlinear Causal Models Using Autoencoding Structure.

Kento Uemura, Shohei Shimizu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2016

AEGA: A New Real-Coded Genetic AlgorithmTaking Account of Extrapolation.

Kento Uemura, Isao Ono

J. Adv. Comput. Intell. Intell. Informatics, 2016

2013

A new real-coded genetic algorithm for implicit constrained black-box function optimization.

Kento Uemura, Naotoshi Nakashima, Yuichi Nagata, Isao Ono

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2011

A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms.

Kento Uemura, Shun-ichi Kinoshita, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono

Proceedings of the IEEE Congress on Evolutionary Computation, 2011