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Learning in Pessiland via Inductive Inference
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2023年7月8日 — In this paper, we develop a unified framework for constructing strong learning algorithms under the non-existence of a one-way function, ...
Learning in Pessiland via Inductive Inference
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由 S Hirahara 著作2023被引用 9 次 — In this paper, we develop a unified framework for constructing strong learning algorithms under the nonexistence of a one-way function, indicating a positive ...
Learning in Pessiland via Inductive Inference
Weizmann Institute of Science
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In this paper, we develop a unified framework for constructing strong learning algorithms under the non-existence of a one-way function, indicating a positive ...
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Learning in Pessiland via Inductive Inference | Request PDF
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Understanding the computational complexity of learning efficient classical programs is also crucial for constructing classical cryptographic primitives.
Learning in Pessiland via Inductive Inference - ieeecomputer.org
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由 S Hirahara 著作2023被引用 9 次 — Our framework is based on the theory of Solomonoff's inductive inference and the universal extrapolation algo- rithm of Impagliazzo and Levin (FOCS'90).
Learning in Pessiland via Inductive Inference
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2023年11月6日 — 1. A personal view of average-case complexity · 2. One-way functions are essential for complexity based cryptography · 3. Learning to impersonate.
Shuichi Hirahara Mikito Nanashima
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由 S Hirahara 著作被引用 9 次 — Learning in Pessiland via. Inductive ... Why ? learning ACDs agnostic learning (with 0-1 loss). /28. Page 29. 24. Solomonoffʼs Inductive Inference [Sol64, LV19].
Mikito Nanashima
Mikito Nanashima
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Mikito Nanashima
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2024年10月8日 — [10] S. Hirahara and M. Nanashima, Learning in Pessiland via Inductive Inference, in FOCS2023 [full]. [9] S. Hirahara, R. Ilango ...
Mikito Nanashima
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A unified framework for constructing strong learning algorithms under the nonexistence of a one-way function in Pessiland, demonstrating that Pessiland is a ...
Mikito Nanashima
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Shuichi Hirahara, Mikito Nanashima: Learning in Pessiland via Inductive Inference.
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