research
∙
03/03/2023
Diffusion Models are Minimax Optimal Distribution Estimators
While efficient distribution learning is no doubt behind the groundbreak...
share
research
∙
09/02/2022
Optimal design of lottery with cumulative prospect theory
A lottery is a popular form of gambling between a seller and multiple bu...
research
∙
09/01/2022
Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning
While variance reduction methods have shown great success in solving lar...
research
∙
05/30/2022
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
While deep learning has outperformed other methods for various tasks, th...
research
∙
06/11/2021
On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting
Deep learning empirically achieves high performance in many applications...
research
∙
12/06/2020
