Hirofumi Shiba
Education
PhD Statistical Science. Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan. 2023.4 – 2028.3
Superivsor: Prof. Kengo Kamatani
BA Mathematics. Department of Mathematics, University of Tokyo. 2019.4 – 2023.3
Supervisor: Prof. Nakahiro Yoshida
Publications
Talks
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10/13/2026.
(15:30-16:30)
High-Dimensional Behaviour of Two Piecewise Deterministic Markov Processes : Efficiency Comparison & Asymptotic Variance Estimation.
Bloomsbury Probability Seminar.
1-19 Torrington Place G08, London, UK.
Details Slide
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6/16/2026.
(9:00-10:40)
High-Dimensional Behaviour of Piecewise Deterministic Monte Carlo : Efficiency Comparison & Asymptotic Variance Estimation.
The Seventh Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM).
Henry Cheng International Conference Centre, Cheng Yu Tung Building, The Chinese University of Hong Kong.
Details Slide
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2/10/2026.
(9:50-9:55)
Computational Complexity Comparison via Scaling Limits for Emerging MCMC Samplers.
ISI-ISM-ISSAS Joint Conference.
Academia Sinica, Taiwan (2nd Conference Room, 3F).
Details Slide PDF
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2/05/2026.
(11:40-12:00)
或る区分確定的マルコフ過程のスケーリング極限.
学生研究発表会（統数研）.
統数研２階大会議室（B201）.
Details Slide PDF
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7/15/2025.
(17:30-18:00)
Understanding Discrete Denoising Diffusion Models : A Survey and a Gap in the Theory.
Workshop on Opportunity Week 2025, Stochastische Geometrie und räumliche Statistik.
Universität Ulm.
Details Slide
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2/06/2025.
(16:50-17:10)
動き出す次世代サンプラー : 区分確定的モンテカルロ.
学生研究発表会（統数研）.
統数研２階大会議室.
Details Slide PDF
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9/10/2024.
Zig-Zag Sampler : A MCMC Game-Changer.
Talk.
Seoul National University, Gwanak (관악) campus, South Korea.
Details Slide
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7/25/2024.
Zig-Zag サンプラー : 物理のくびきを超える MCMC.
ベイズ会.
本郷キャンパス小島ホール第二セミナー室.
Details Slide
Posters
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10/31/2026.
14:00-15:30.
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Sticky Manifold PDMP による低次元多様体上に台を持つ分布からのサンプリング.
異分野異業種研究交流会.
東京大学 駒場キャンパスⅠ 21 KOMCEE West 地下1階MMホール.
Details Poster -
7/02/2026.
13:50-15:20.
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A PDMP Scaling Analysis: Gains from Persistent Momentum.
ISBA Satellite Meeting 2026.
Institute of Statistical Mathematics.
Details Poster -
6/29/2026.
17:15-19:30.
.
A Provable Comparison Scheme via Scaling Limits for Emerging Monte Carlo Samplers.
ISBA World Meeting 2026.
WINC AICHI (Aichi Industry & Labor Center).
Details Poster -
5/22/2026.
13:00-15:00.
.
PDMP の拡散極限と早期収束診断.
統計数理研究所オープンハウス.
１階交流アトリウム.
Details Poster -
3/03/2026.
16:00-18:00.
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Diffusive Scaling Limits & Early Diagnostics for PDMP Samplers.
Workshop on Functional Inference and Machine Intelligence.
TKP Shinjuku West Exit Conference Center, Shinjuku, Tokyo, Japan.
Details Poster -
2/16/2026.
15:45-16:45.
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区分確定的モンテカルロ法の拡散極限と早期収束診断.
第２回：計算技術による学際的統計解析ワークショップ.
Institute of Statistical Mathematics (Room D305).
Details Poster -
2/10/2026.
8:50--11:00, 11:20-12:20 (Group B).
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Computational Complexity Comparison via Scaling Limits for Emerging MCMC Samplers.
ISI-ISM-ISSAS Joint Conference.
Academia Sinica, Taiwan (2nd Conference Room, 3F).
Details Poster Preprint -
11/12/2025.
17:10-19:10 (1b-R-02).
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メトロポリスを超えた枠組みで我々はどこまで行けるか？ : Forward Event-Chain Monte Carlo のスケーリング解析.
IBIS 2025.
那覇文化芸術劇場なはーと.
Details Poster -
9/22/2025.
15:00-16:30.
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メトロポリスを超えた枠組みで我々はどこまで行けるか？ : PDMP と従来の MCMC はどう違い，どう違わないか？.
機械学習若手の会 (YAML) 2025.
ハートピア熱海.
Details Poster -
8/28/2025.
17:20-19:00.
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サンプリングにおける加速と安定性.
連続最適化および関連分野に関する夏季学校.
Details Poster -
5/23/2025.
13:40-14:20.
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ベイズ変数選択の計算的解決 : PDMP による非絶対連続分布からのサンプリング.
統計数理研究所オープンハウス.
Details Poster -
3/08/2025.
12:00-12:50.
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PDMP によりスパイク付きの非絶対連続分布からもサンプリングが可能.
第19回日本統計学会春季集会.
（優秀発表賞受賞）
Details Poster Preprint -
2/17/2025.
15:30-16:30.
.
ベイズ変数選択の計算的解決 : PDMP による非可逆ジャンプの達成.
計算技術による学際的統計解析ワークショップ.
Details Poster -
5/24/2024.
10:30-11:10.
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新時代の MCMC を迎えるために : 連続時間アルゴリズムへの進化.
統数研オープンハウス.
Details Poster -
2/25/2024.
18:00-19:30.
.
A Recent Development of Particle Methods : Inquiry towards a Continuous Time Limit and Scalability.
MLSS2024 (OIST, Okinawa, Japan).
Details Poster
Research Visit
School of Mathematics, University of Bristol. 2026.9.21 – 2026.10.21
Supervisor: Prof. Christophe Andrieu
Institute of Stochastics, Ulm University, Germany. 2025.7.13 – 2025.7.26
Supervisor: Prof. Evgeny Spodarev
Department of Statistics & Data Science, National University of Singapore. 2025.6.1 – 2025.6.30
Supervisor: Dr. Alexandre Thiéry
Department of Statistical Science, University College London, United Kingdom. 2024.11.4 – 2024.12.2
Supervisor: Prof. Alexandros Beskos
Grants & Awards
Research Fellow. Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan. 2025.4 – 2028.3
Supported by JST BOOST, Japan Grant Number JPMJBS2412: A Radical Approach to Trustworthy AI in the Coming Era. ¥ 11,700,000.
Best Poster Award, 19th Spring Meeting of the Japan Statistical Society. 2025.3.8
Director’s Award from the Japan Statistical Society Certificate. 2025.3.8
Service
Reviewing: Bayesian Analysis, Journal of Machine Learning Research
Additional Experience
Data Scientist. PreMedica, Inc., Tokyo, Japan. 2024.9 – today
Responsibilities: Provided Bayesian data analysis solutions to healthcare applications.
Research Assistant. The Institute of Statistical Mathematics, Tokyo, Japan. 2023.7 – 2026.3
Responsibilities: Contributed to the R package
YUIMA, an open-source project aiming to simulate and infer multidimensional stochastic differential equations, with an emphasis on Bayesian inference.