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 Project Visiting 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 Scientists 4,160,000Yen 離散分布におけるスカラー値のMinimax最適な推定量 2017-04 -- 2018-03 Kazuto Fukuchi Japan 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 -- 2019-08 RIKENCenter for Advanced Intelligence ProjectPostdoctor - Academic background
2006-04 -- 2011-03 National Institute of Technology, Tokyo College Department of Computer Science 2011-04 -- 2013-03 University of Tsukuba School of Informatics College of Information Science 2013-04 -- 2015-03 University of Tsukuba Graduate School of Systems and Information Engineering Department of Computer Science 2015-04 -- 2018-03 University of Tsukuba Graduate School of Systems and Information Engineering Department of Computer Science - Degree
2015-03 M.Sc. in Engineering University of Tsukuba 2018-03 Ph.D. in Engineering University of Tsukuba - Academic societies
2019-12 -- (current) AAAI - Honors & Awards
2021-03 ICLR2021, Outstanding Reviewer Award 2020-09 ICML2020, Top 33% Reviewer 2019-11 2018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 2016-03 IBM Ph.D. Fellowship Award 2016 - Articles
- Unauthorized AI cannot Recognize Me: Reversible Adversarial Example
Liu Jiayang; Zhang Weiming; Fukuchi Kazuto; Akimoto Yohe...
Pattern Recognition/134, 2023-02 - Domain Generalization via Adversarially Learned Novel Domains
Yu Zhe; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
IEEE Access/10/pp.101855-101868, 2022-09 - Locally Differentially Private Minimum Finding
Fukuchi Kazuto; Yu Chia-Mu; Sakuma Jun
IEICE TRANSACTIONS on Information and Systems/E105(8)/pp.1418-1430, 2022-08 - 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
人工知能学会全国大会論文集, 2022-06 - (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
人工知能学会全国大会論文集, 2021-06 - 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
人工知能学会全国大会論文集, 2021-06 - 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
人工知能学会全国大会論文集, 2021-06 - 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
人工知能学会全国大会論文集, 2021-06 - Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation
Tran Thien Q.; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
Proceedings of the AAAI Conference on Artificial Intelligence, 2022-02 - Deep Generative Model for Non-convex Constraint Handling
Sakamoto Naoki; Semmatsu Eiji; Fukuchi Kazuto; Sakuma Ju...
GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference/pp.636-644, 2020-07 - 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/pp.1645-1655, 2020-08 - Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization
Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
GECCO '21, 2021-07 - Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution
Tanabe Takumi; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
GECCO '21, 2021-07 - 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 - 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; 五十嵐康彦; 今倉暁; Vasilache Simona Mi...
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 - Faking Fairness via Stealthily Biased Sampling
Fukuchi Kazuto; Hara Satoshi; Maehara Takanori
The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020-02 - 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 - Differentially Private Analysis of Outliers
Okada Rina; Fukuchi Kazuto; Sakuma Jun
Machine Learning and Knowledge Discovery in Databases/9285/pp.458-473, 2015-08 - 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 - Prediction with Model-Based Neutrality
Fukuchi Kazuto; Sakuma Jun; Toshihiro Kamishima
Machine Learning and Knowledge Discovery in Databases/8189/pp.499-514, 2013-09 - Prediction with Model-Based Neutrality
Fukuchi Kazuto; Sakuma Jun; Toshihiro Kamishima
IEICE Transactions on Information and Systems/E98.D(8)/pp.1503-1516, 2015-08 - 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 - more...
- Unauthorized AI cannot Recognize Me: Reversible Adversarial Example
- 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
- モデル化誤差に頑健な Max-Min Off-Policy Actor-Critic
- Teaching
2022-04 -- 2022-08 Computer Science Seminar B University of Tsukuba. 2022-10 -- 2023-02 Computer Science Seminar B University of Tsukuba. 2022-10 -- 2023-02 Computer Science Seminar Bf University of Tsukuba. 2022-10 -- 2023-02 Seminar in Computer Science f University of Tsukuba. 2022-10 -- 2023-02 Research in Computer Science f University of Tsukuba. 2022-10 -- 2023-02 Research in Computer Science If University of Tsukuba. 2022-04 -- 2022-08 Research in Computer Science I University of Tsukuba. 2022-10 -- 2023-02 Research in Computer Science I University of Tsukuba. 2022-04 -- 2022-08 Seminar in Computer Science s University of Tsukuba. 2022-10 -- 2023-02 Computer Science Seminar A University of Tsukuba. more...
(Last updated: 2022-08-18)