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Fukuchi Kazuto

Affiliation
Faculty of Engineering, Information and Systems
Official title
Assistant Professor
ORCID
0000-0003-3895-219X
URL
Research fields
Intelligent informatics
Statistical science
Computational science
Research projects
大規模離散分布におけるminimax最適な汎関数推定2020 -- 2022福地 一斗Japan Society for the Promotion of Science/Grant-in-Aid for Early-Career Scientists4,160,000Yen
離散分布におけるスカラー値のMinimax最適な推定量2017-04 -- 2018-03Kazuto FukuchiJapan Society of for the Promotion of Science/日本学術振興会/科学研究費補助金 特別研究員奨励費1,000,000Yen
Career history
2019-11 -- (current)RIKEN Center for Advanced Intelligence Project Visiting researcher
2019-09 -- (current)University of Tsukuba Faculty of Engineering, Information and Systems Assistant Professor
2018-04 -- 2019-08RIKEN Center for Advanced Intelligence Project Postdoctor
Academic background
2006-04 -- 2011-03National Institute of Technology, Tokyo College Department of Computer ScienceGraduated
2011-04 -- 2013-03University of Tsukuba School of Informatics College of Information ScienceGraduated
2013-04 -- 2015-03University of Tsukuba Graduate School of Systems and Information Engineering Department of Computer ScienceCompleted
2015-04 -- 2018-03University of Tsukuba Graduate School of Systems and Information Engineering Department of Computer ScienceCompleted
Degree
2015-03M.Sc. in EngineeringUniversity of Tsukuba
2018-03Ph.D. in EngineeringUniversity of Tsukuba
Academic societies
2019-12 -- (current)AAAI
Honors & Awards
2019-112018年SITA若手研究者論文賞受賞者離散分布におけるシャノンエントロピー型のAdditive汎関数のミニマックス最適推定
Refereed academic journal/Refereed international conference paper
Other articles
  • 筑波大学における全学必修 のデータサイエンス教育
    和田耕一; 佐久間淳; 平田 祥人; 福地一斗; 青砥隆仁; 五十嵐...
    オペレーションズ・リサーチ/65(9)/pp.573-578, 2020-11
  • Policy Transfer in Reinforcement Learning with Domain Adaptation using Transition Probability
    佐藤 怜; 福地 一斗; 佐久間 淳; 秋本 洋平
    Proceedings of the Annual Conference of JSAI/2020/pp.2J5GS203-2J5GS203, 2020
  • Robustness of Fair Machine Learning Algorithm against Distribution Shift
    福地 一斗
    Proceedings of the Annual Conference of JSAI/2020/pp.3N5OS11b05-3N5OS11b05, 2020
  • Minimax Optimal Estimation of Shannon Entropy-Type Additive Functional with Discrete Distribution
    福地 一斗; 佐久間 淳
    情報理論とその応用シンポジウム予稿集/pp.1-6, 2018-11
  • Neutralized Empirical Risk Minimization with Generalization Neutrality Bound
    Fukuchi Kazuto; Sakuma Jun
    Machine Learning and Knowledge Discovery in Databases/8724/pp.418-433, 2014-09
  • 結果的公平な文脈付きバンディット学習
    佐久間 淳; 福地 一斗
    信学技報/117(293)/pp.139-146, 2017-11
  • 離散分布の加法分解可能なスカラー汎関数におけるミニマックス最適推定量
    Sakuma Jun; Fukuchi Kazuto
    信学技報IBISML2016-55/116(300)/pp.65-71, 2016-11
  • 差分プライバシを保証した外れ値検出
    岡田莉奈; 福地一斗; 佐久間 淳
    第7回データ工学と情報マネジメントに関するフォーラム(DEIM 2015)論文集, 2015-03
  • Differentially Private Analysis of Outliers
    Okada Rina; Fukuchi Kazuto; Sakuma Jun
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2015, PT II/9285/pp.458-473, 2015
  • Neutralized Empirical Risk Minimization with Covariance-based Neutrality Risk
    福地 一斗; 佐久間 淳
    電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習/114(198)/pp.93-100, 2014-08
  • Prediction with Model-Based Neutrality
    FUKUCHI Kazuto; KAMISHIMA Toshihiro; SAKUMA Jun
    IEICE Transactions on Information and Systems/98(8)/pp.1503-1516, 2015-08
  • Differential Privacy on Linear Regression Model of Crowdsensing
    チャンクワンカイ; 福地一斗; 佐久間 淳
    電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習/114(306)/pp.95-102, 2014-11
  • 差分プライバシを保証した外れ値検出
    岡田莉奈; 福地一斗; 佐久間 淳
    第7回データ工学と情報マネジメントに関するフォーラム(DEIM2015)/pp.1-8, 2015-03
  • Neutralized Empirical Risk Minimization with Covariance-based Neutrality Risk
    福地 一斗; 佐久間 淳
    IPSJ SIG Notes. CVIM/2014(16)/pp.1-8, 2014-08
  • マルコフ過程を用いた位置情報継続開示のためのアドバーザリアルプライバシ
    佐久間 淳; 川本淳平; 福地一斗
    情報処理学会 第156回 データベースシステム研究会, 2013-7
  • プライバシを考慮した移動系列情報解析のための安全性
    佐久間淳; 川本淳平; 福地一斗; 照屋唯紀
    2013年暗号と情報セキュリティシンポジウム(SCIS2013), 2013-1
Conference, etc.
  • Statistically Significant Pattern Mining with Ordinal Utility
    Tran Thien Q.; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
    KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining/2020-07-06--2020-07-10
  • Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization
    Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    GECCO '21/2021-07-10--2021-07-14
  • Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution
    Tanabe Takumi; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    GECCO '21/2021-07-10--2021-07-14
  • Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Function
    Morinaga Daiki; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    GECCO '21/2021-07-10--2021-07-14
  • Deep Generative Model for Non-convex Constraint Handling
    Sakamoto Naoki; Semmatsu Eiji; Fukuchi Kazuto; Sakuma Jun...
    Genetic and Evolutionary Computation Conference (GECCO)/2020-07-08--2020-07-12
  • Faking Fairness via Stealthily Biased Sampling
    Fukuchi Kazuto; Hara Satoshi; Maehara Takanori
    The Thirty-Fourth AAAI Conference on Artificial Intelligence/2020-02-07--2020-02-12
  • Minimax Optimal Estimation of Shannon Entropy-Type Additive Functional with Discrete Distribution
    福地 一斗; 佐久間 淳
    第41回情報理論とその応用シンポジウム (SITA2018)/2018-12-18--2018-12-21
  • Neutralized Empirical Risk Minimization with Generalization Neutrality Bound
    Fukuchi Kazuto; Sakuma Jun
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases/2014-09-15--2014-09-19
  • Prediction with Model-Based Neutrality
    Fukuchi Kazuto; Sakuma Jun; Toshihiro Kamishima
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases/2013-09-23--2013-09-27
  • Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case
    Fukuchi Kazuto; Sakuma Jun
    IEEE International Symposium on Information Theory (ISIT)/2018-06-17--2018-06-22
  • Differentially Private Empirical Risk Minimization with Input Perturbation
    Fukuchi Kazuto; Tran Quang Khai; Sakuma Jun
    20th International Conference on Discovery Science (DS)/2017-10-15--2017-10-17
  • Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions
    Fukuchi Kazuto; Sakuma Jun
    IEEE International Symposium on Information Theory (ISIT)/2017-06-25--2017-06-30
  • 差分プライバシを保証した外れ値分析アルゴリズムの高速化
    佐久間 淳; 岡田莉奈; 福地一斗
    第19回情報論理的学習論と機械学習ワークショップ(IBISWS)/2015-11-27
  • 相互情報量の推定におけるMinimax最適推定量
    福地 一斗; 佐久間 淳
    第19回情報論理的学習論と機械学習ワークショップ(IBISWS)/2015-11-28
  • Differentially Private Analysis of Outliers
    Okada Rina; Fukuchi Kazuto; Sakuma Jun
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)/2015-09-07--2015-09-11
  • クラウドセンシングにおける差分プライバシーを保証した線形回帰モデル学習
    チャンクワンカイ; 福地一斗; 佐久間 淳
    情報論的学習理論ワークショップ(IBIS2014)
  • 教師あり学習における中立性指標のf-ダイバージェンスによる統一的理解
    福地一斗; 佐久間 淳
    情報論的学習理論ワークショップ(IBIS2014)
  • Prediction with Model-based Neutralization
    Jun Sakuma; Kazuto Fukuchi; Toshihiro Kamishima
    The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2013/2013-9-25
Teaching
2020-10 -- 2021-02Research in Computer Science IIUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer Science IIUniversity of Tsukuba.
2020-10 -- 2021-02Research in Computer ScienceUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer ScienceUniversity of Tsukuba.
2020-10 -- 2021-02Research in Computer Science IUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer Science IUniversity of Tsukuba.
2020-05 -- 2020-05Information Literacy (Exercises)University of Tsukuba.
2020-04 -- 2020-08Research in Computer Science IIUniversity of Tsukuba.
2020-10 -- 2021-02Research in Computer Science IIUniversity of Tsukuba.
2020-10 -- 2021-02Computer Science Seminar BUniversity of Tsukuba.

(Last updated: 2021-04-08)