Yoichi Chikahara

近原 鷹一






Researcher at NTT Communication Science Laboratories



ABOUT

Yoichi Chikahara is machine learning (ML) researcher at NTT in Japan.
He has an expert knowledge on causal graph discovery and treatment effect estimation.
His research interests include causal-inference-based approaches to ML tasks (e.g., fairness-aware ML).
See here for his publications.


RECENT WORK

Topic 1

Learning Individually Fair Classifier
with Path-Specific Causal-Effect Constraint
Key words: Machine Learning and Fairness
Path-Specific Causal Effects, Correlation Gap

JP EN FR

Topic 2

Causal Inference from Time Series Data via Supervised Learning
Key words: Time Series Analysis, Granger Causality
Kernel Methods

JP EN FR

Topic 3

Integrative Analysis of Omics Data
for Driver Gene Discovery
Key Words: Cancer Bioinformatics
Nonparametric Bayesian Models, Survival Time Analysis

JP EN FR






Biography

2019.10 -

Dept. of Intelligence Science & Technology, Graduate School of Informatics, Kyoto University

2015.4 -

Researcher at NTT Communication Science Laboratories

2013.4 - 2015.3

M. Information Science and Technology from Dept. of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo (Miyano Lab.)

2009.4 - 2013.3

B. Science from Dept. of Biosciences and Informatics, Keio University

CONTACT

chikahara.yoichi (at) gmail.com

Office: 2-4 Hikaridai, Seika-cho, Kyoto, 619-0237, JAPAN
Learning and Intelligent Systems Group
Innovative Communication Laboratory
Communication Science Laboratories
NTT (NIPPON TELEGRAPH AND TELEPHONE CORPORATION)