Rchr
J-GLOBAL ID:201901019808988915
Update date: May. 19, 2024
Nanashima Mikito
ナナシマ ミキト | Nanashima Mikito
Affiliation and department:
Homepage URL (1):
https://nanashima.github.io/
Research field (1):
Information theory
Research theme for competitive and other funds (3):
- 2022 - 2027 Theoretical Foundations of Resource-Bounded Quantum Computation
- 2021 - 2023 学習階層の解析と計算論的学習理論の新展開
- 2019 - 2022 Research on Difficulty of Proving Efficient Learnability
Papers (11):
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Shuichi Hirahara, Mikito Nanashima. Learning in Pessiland via Inductive Inference. FOCS. 2023. 447-457
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Shuichi Hirahara, Rahul Ilango, Zhenjian Lu, Mikito Nanashima, Igor C. Oliveira. A Duality between One-Way Functions and Average-Case Symmetry of Information. STOC. 2023. 1039-1050
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Shuichi Hirahara, Mikito Nanashima. Learning Versus Pseudorandom Generators in Constant Parallel Time. ITCS. 2023. 70-18
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Shuichi Hirahara, Mikito Nanashima. Finding Errorless Pessiland in Error-Prone Heuristica. CCC. 2022. 25-28
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Shuichi Hirahara, Mikito Nanashima. On Worst-Case Learning in Relativized Heuristica. Electronic Colloquium on Computational Complexity. 2021. 28. 161-161
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