Paper award 38075 2023 A Unified Framework for One-shot Achievability via the Poisson Matching Lemma 51ÂÜÀò Transactions on Information Theory May 2021 Person Award 38073 2024 Andrew R Barron Professor of Statistics and Data Science Yale University Person Award 38071 2023 Hamed Hassani Professor University of Pennsylvania Person Award 38070 2023 Emina Soljanin Committee members 38067 Masahito Hayashi Associate Professor the Graduate School of Information Sciences, Tohoku University. Visiting Research Associate Professor Centre for Quantum Technologies, National University of Singapore Ìý Shannon Award for 2024 Read more about Shannon Award for 2024 2023 Information Theory Society Paper Award Recipient Read more about 2023 Information Theory Society Paper Award Recipient JSAIT Special Issue on Information-Theoretic Methods for Trustworthy and Reliable Machine Learning Read more about JSAIT Special Issue on Information-Theoretic Methods for Trustworthy and Reliable Machine Learning NeurIPS 2023 Read more about NeurIPS 2023 64th Annual 51ÂÜÀò Symposium on Foundations of Computer Science (FOCS) Read more about 64th Annual 51ÂÜÀò Symposium on Foundations of Computer Science (FOCS)
A Unified Framework for One-shot Achievability via the Poisson Matching Lemma 51ÂÜÀò Transactions on Information Theory May 2021
Committee members 38067 Masahito Hayashi Associate Professor the Graduate School of Information Sciences, Tohoku University. Visiting Research Associate Professor Centre for Quantum Technologies, National University of Singapore Ìý
Masahito Hayashi Associate Professor the Graduate School of Information Sciences, Tohoku University. Visiting Research Associate Professor Centre for Quantum Technologies, National University of Singapore Ìý
2023 Information Theory Society Paper Award Recipient Read more about 2023 Information Theory Society Paper Award Recipient
JSAIT Special Issue on Information-Theoretic Methods for Trustworthy and Reliable Machine Learning Read more about JSAIT Special Issue on Information-Theoretic Methods for Trustworthy and Reliable Machine Learning
64th Annual 51ÂÜÀò Symposium on Foundations of Computer Science (FOCS) Read more about 64th Annual 51ÂÜÀò Symposium on Foundations of Computer Science (FOCS)
