Sato Issei

Affiliation and department：

Research field (1)： Intelligent informatics

Research keywords (1)： Machine learning

Research theme for competitive and other funds (8)：

2020 - 2025 Program Verification Techniques for the AI Era
2020 - 2025 Quantifying Prediction Uncertainty in Machine Learning
2017 - 2021 Learning Algorithm for Advanced Generative Models
2015 - 2018 Dynamic performance improvement in computer-assisted detection system for diagnostic imaging by combined application of online learning and transfer learning
2014 - 2016 Preventing A False Light Caused by k-anonymity with Mathematical Modling and Optimization

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Papers (111)：

Fumiko Kawasaki, Yuka Mori, Takahiro Mimori, Issei Sato, Sadao Ota. Identification of In-Droplet Multicellular Communities by Light-Induced Combinatorial DNA Barcoding. Chemistry (Weinheim an der Bergstrasse, Germany). 2023. 29. 53. e202301133
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama. Excess risk analysis for epistemic uncertainty with application to variational inference. CoRR. 2022. abs/2206.01606
Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama. Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum. ICML. 2022. 24430-24459
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama. Predictive variational Bayesian inference as risk-seeking optimization. International Conference on Artificial Intelligence and Statistics(AISTATS). 2022. 5051-5083
Han Bao 0002, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama. Pairwise Supervision Can Provably Elicit a Decision Boundary. International Conference on Artificial Intelligence and Statistics(AISTATS). 2022. 2618-2640

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MISC (35)：

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