Shunta Akiyama

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Positive Semidefinite

Teacher Student

Top Venues

Publications

Kazusato Oko, Shunta Akiyama, Taiji Suzuki
Diffusion Models are Minimax Optimal Distribution Estimators. ICML (2023)
Shunta Akiyama, Taiji Suzuki
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods. ICLR (2023)
Kazusato Oko, Shunta Akiyama, Taiji Suzuki
Diffusion Models are Minimax Optimal Distribution Estimators. CoRR (2023)
Shunta Akiyama, Mitsuaki Obara, Yasushi Kawase
Optimal design of lottery with cumulative prospect theory. CoRR (2022)
Kazusato Oko, Shunta Akiyama, Tomoya Murata, Taiji Suzuki
Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning. CoRR (2022)
Shunta Akiyama, Taiji Suzuki
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods. CoRR (2022)
Shunta Akiyama, Taiji Suzuki
On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting. CoRR (2021)
Taiji Suzuki, Shunta Akiyama
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods. ICLR (2021)
Shunta Akiyama, Taiji Suzuki
On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting. ICML (2021)
Taiji Suzuki, Shunta Akiyama
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods. CoRR (2020)