8 citations · 12 across the 7 of their papers we have counts for
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cs.LG2022
Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning
Kazusato Oko, Shunta Akiyama, Tomoya Murata +1
While variance reduction methods have shown great success in solving large scale optimization problems, many of them suffer from accumulated errors and, therefore, should periodica…
cs.GT2022
Optimal design of lottery with cumulative prospect theory
Shunta Akiyama, Mitsuaki Obara, Yasushi Kawase
Lotteries are a prevalent form of gambling between a seller and buyers. Designing a lottery requires a model of how buyers make decisions when confronted with uncertain outcomes. C…
stat.ML2022★ 1 cited
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
Shunta Akiyama, Taiji Suzuki
While deep learning has outperformed other methods for various tasks, theoretical frameworks that explain its reason have not been fully established. To address this issue, we inve…