Rchr
J-GLOBAL ID:201801009202421461   Update date: Apr. 15, 2024

Sato Tetsuya

サトウ テツヤ | Sato Tetsuya
Affiliation and department:
Job title: 助教
Homepage URL  (1): https://sites.google.com/view/tetsuyasato/
Research field  (1): Information theory
Research keywords  (4): Theoretical computer science ,  Category theory ,  Programming language ,  Differential Privacy
Research theme for competitive and other funds  (1):
  • 2020 - 2024 高階確率的プログラムにおける差分プライバシーの形式的検証
Papers (20):
  • Yusuke Kawamoto 0001, Tetsuya Sato 0001, Kohei Suenaga. Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs. Artif. Intell. 2024. 326. 104045-104045
  • Yusuke Kawamoto 0001, Tetsuya Sato 0001, Kohei Suenaga. Formalizing Statistical Causality via Modal Logic. JELIA. 2023. 681-696
  • Yusuke Kawamoto 0001, Tetsuya Sato 0001, Kohei Suenaga. Formalizing Statistical Causality via Modal Logic. CoRR. 2022. abs/2210.16751
  • Yusuke Kawamoto 0001, Tetsuya Sato 0001, Kohei Suenaga. Sound and Relatively Complete Belief Hoare Logic for Statistical Hypothesis Testing Programs. CoRR. 2022. abs/2208.07074
  • Yusuke Kawamoto, Tetsuya Sato, Kohei Suenaga. Formalizing Statistical Beliefs in Hypothesis Testing Using Program Logic. Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning. 2021. 411-421
more...
Lectures and oral presentations  (19):
  • Graded Hoare Logic and its Categorical Semantics
    (30th European Symposium on Programming (ESOP 2021) 2021)
  • Divergences on Monads and Relational Liftings
    (15th IFIP WG 1.3 International Workshop on Coalgebraic Methods in Computer Science (CMCS 2020) 2020)
  • Hypothesis Testing Interpretations and Renyi Differential Privacy
    (TPDP 2019 - Theory and Practice of Differential Privacy 2019)
  • Approximate Span Liftings: Compositional Semantics for Relaxations of Differential Privacy
    (JSSST 2019 2019)
  • Formal verification of higher-order probabilistic programs: reasoning about approximation, convergence, Bayesian inference, and optimization
    (34th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS) 2019)
more...
Education (3):
  • 2011 - 2015 Kyoto University Ph.D. in RIMS
  • 2009 - 2011 Kyoto University M.Sc. in RIMS
  • 2005 - 2009 Osaka Kyoiku University Department of Arts and Sciences Mathematical Sciences
Professional career (1):
  • 博士(理学) (京都大学)
Work history (5):
  • 2020/04 - 現在 Tokyo Institute of Technology School of Computing
  • 2019/04 - 2020/03 Seikei University Deptartment of Computer and Information Science, Faculty of Science and Technology Assistant Professor
  • 2017/09 - 2019/02 University at Buffalo, SUNY CSE Postdoctoral Associate
  • 2017/04 - 2017/08 Kyoto University Center for the Promotion of Interdisciplinary Education and Research
  • 2015/04 - 2017/08 RIMS, Kyoto University Researcher
Awards (1):
  • 2013/03 - 16th European Joint Conference on Theory and Practice of Software, ETAPS 2013, Best Student Contribution Award, for the paper “Preorders on Monads and Coalgebraic Simulations” by Shin-ya Katsumata and Tetsuya Sato
Association Membership(s) (2):
Association for Computing Machinery ,  JAPAN SOCIETY FOR SOFTWARE SCIENCE AND TECHNOLOGY
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