Shintaro Nakamura's Website

Not me. He's Doraemon. One of my dreams is to make an artificial general intelligence robot like him.

My current interest is online decision-making theory in a multi-agent environment. The goal is to build highly applicable algorithms for a connected society.

Thank you for visiting Shintaro Nakamura's website!

I am currently a second year PhD student at Sugiyama-Yokyoya-Ishida lab supervised by Prof. Sugiyama and a member of Geoinformatics unit in RIKEN AIP. You can see my CV here.
I am intereseted in the following topics.

Combinatorial Multi-Armed Bandits
Multi-Agent Multi-Armed Reinforcement Learning
Optimal Transport in Machine Learning

I am also the CEO/CTO of EfficiNet X Corporation. Our mission is to apply state-of-the-art machine learning techniques, such as multi-agent deep reinforcement learning to the real-world.

Conference Proceedings

Shintaro Nakamura, Han Bao, Masashi Sugiyama. Robust computation of optimal transport by β-potential regularization. Asian Conference on Machine Learning (ACML), 2022.( arXiv link )

Shintaro Nakamura and Masashi Sugiyama. Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit. AAAI, 2024.

Shintaro Nakamura and Masashi Sugiyama. Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit. AISTATS, 2024.

Journal

Shintaro Nakamura and Masashi Sugiyama. A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit. Neural Computation.

Domestic Conferences

Oral Presentation

Shintaro Nakamura, Han Bao, Masashi Sugiyama. Robust computation of optimal transport by β-potential regularization. Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML), March 8th, 2022.

(Domestic Conference) 発表タイトル「実数値組合せ多腕バンディット問題における固定予算純粋探索」 FIT2024 Top Conference Session

Workshops

Shintaro Nakamura and Masashi Sugiyama. Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit. The 26th Infomation-Based Induction Sciences Workshop, October 31st, 2023.

Servive

Journal Reviewer

Machine Learning

Conference Paper Reviewer

ICML (2024, 2025)

Grants and Fellowships

SPRING GX(4/2022~3/2025)
Microsoft Research Asia D-CORE program (Mentor:Wei Chen, 4/2022~3/2023)

Upcoming

4/3/2024 - 15/3/2024: I am going to attend the Machine Learning Summer School in Okinawa.