Shohei Shimizu
Shohei Shimizu (Ph.D.)
Title
Team Leader

Members

  • Team leader
    Shohei Shimizu
  • Visiting scientist
    Hidetoshi Shimodaira
  • Visiting scientist
    Akifumi Okuno
  • Visiting scientist
    Junya Honda
  • Visiting scientist
    Thong Pham
  • Visiting scientist
    Yoshikazu Terada
  • Visiting scientist
    Sho Yokoi
  • Visiting scientist
    Xiaokang Zhou
  • Visiting scientist
    Jun Otsuka
  • Visiting scientist
    Takashinicholas Maeda

Introduction

Laboratory's photo

Our group works on different topics related to causal inference. In particular, we develop theory, methods, algorithms, and software for estimating causal relations based on data that are obtained from sources other than randomized experiments, i.e., causal discovery.

Main Research Field
Computer Science
Research Field
Biology & Biochemistry / Neuroscience & Behavior / Psychology & Psychiatry / Economics & Business
Research Subjects
Causal discovery
Laboratory Website URL
https://www.shimizulab.org
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/generic_tech/cause_infer/

Introduction Video

Causal Inference Team (PI: Shohei Shimizu) thumbnails
Show details
Poster(s)

Related posts

posted on April 26, 2022 14:44InformationPressrelease
A Multivariate Causal Discovery based on Post-Nonlinear Model
posted on November 9, 2021 22:40Information
Japan Society for Research Policy and Innovation Management Best Paper Award
posted on October 1, 2021 11:50Symposium
Hikone Data Science 2021 -International Symposium on Causal Inferece and Macchine Learning-
posted on May 18, 2021 07:49Information
Three Papers have beenwere accepted at IJCAI 2021
posted on April 29, 2021 15:58Seminar
[27th AIP Open Seminar] Talks by Causal Inference Team
posted on January 6, 2021 15:20Award
Zhou Xiaokang and SHIMIZU Shohei received IEEE SMC 2020 Awards
posted on March 13, 2020 11:25Information
Ten papers were accepted at AISTATS 2020
posted on May 16, 2019 13:52Information
Fourteen papers have been accepted at ICML 2019