Fukuchi Kazuto

Affiliation
Faculty of Engineering, Information and Systems
Official title
Assistant Professor
ORCID
0000-0003-3895-219X
URL
Other affiliation
RIKEN Center for Advanced Intelligence ProjectVisiting Researcher
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)RIKENCenter for Advanced Intelligence ProjectVisiting researcher
2019-09 -- (current)University of TsukubaFaculty of Engineering, Information and SystemsAssistant Professor
2018-04 -- 2019-08RIKENCenter for Advanced Intelligence ProjectPostdoctor
Academic background
2006-04 -- 2011-03National Institute of Technology, Tokyo College Department of Computer Science
2011-04 -- 2013-03University of Tsukuba School of Informatics College of Information Science
2013-04 -- 2015-03University of Tsukuba Graduate School of Systems and Information Engineering Department of Computer Science
2015-04 -- 2018-03University of Tsukuba Graduate School of Systems and Information Engineering Department of Computer Science
Degree
2015-03M.Sc. in EngineeringUniversity of Tsukuba
2018-03Ph.D. in EngineeringUniversity of Tsukuba
Academic societies
2019-12 -- (current)AAAI
Honors & Awards
2021-03ICLR2021, Outstanding Reviewer Award
2020-09ICML2020, Top 33% Reviewer
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
2018-01学生優秀プレゼンテーション賞結果的公平な文脈付きバンディット学習
2016-03IBM Ph.D. Fellowship Award 2016
Articles
Conference, etc.
  • モデル化誤差に頑健な Max-Min Off-Policy Actor-Critic
    田邊 拓実; 福地 一斗; 佐久間 淳; 秋本 洋平
    2022年度人工知能学会全国大会（第36回）/2022-06-14--2022-6-17
  • (1+1)-Evolution Strategyの凸二次関数における収束速度の導出
    森永 大貴; 福地 一斗; 佐久間 淳; 秋本 洋平
    2021年度人工知能学会全国大会（第35回）/2021-06-08--2021-06-11
  • 複数の損失関数を用いた深層生成モデルの訓練と制約付きブラックボックス最適化への適用
    阪本 直気; 佐藤 怜; 福地 一斗; 佐久間 淳; 秋本 洋平
    2021年度人工知能学会全国大会（第35回）/2021-06-08--2021-06-11
  • 深層生成モデルによる弱パレート解集合の近似
    江戸 陽向; 濱田 直希; 福地 一斗; 佐久間 淳; 秋本 洋平
    2021年度人工知能学会全国大会（第35回）/2021-06-08--2021-06-11
  • Sequential Variational Autoencoderを用いたAngry Birdsのステージ生成
    田邊 拓実; 福地 一斗; 佐久間 淳; 秋本 洋平
    2021年度人工知能学会全国大会（第35回）/2021-06-08--2021-6-11
  • Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation
    Tran Thien Q.; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
    36th AAAI Conference on Artificial Intelligence/2022-02-22--2022-03-01
  • 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 ...
    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
2022-04 -- 2022-08Computer Science Seminar BUniversity of Tsukuba.
2022-10 -- 2023-02Computer Science Seminar BUniversity of Tsukuba.
2022-10 -- 2023-02Computer Science Seminar BfUniversity of Tsukuba.
2022-10 -- 2023-02Seminar in Computer Science fUniversity of Tsukuba.
2022-10 -- 2023-02Research in Computer Science fUniversity of Tsukuba.
2022-10 -- 2023-02Research in Computer Science IfUniversity of Tsukuba.
2022-04 -- 2022-08Research in Computer Science IUniversity of Tsukuba.
2022-10 -- 2023-02Research in Computer Science IUniversity of Tsukuba.
2022-04 -- 2022-08Seminar in Computer Science sUniversity of Tsukuba.
2022-10 -- 2023-02Computer Science Seminar AUniversity of Tsukuba.
more...

(Last updated: 2022-08-18)