research
∙
12/02/2022
Meta-Shop: Improving Item Advertisement For Small Businesses
In this paper, we study item advertisements for small businesses. This a...
share
research
∙
04/12/2021
An Efficient Algorithm for Deep Stochastic Contextual Bandits
In stochastic contextual bandit (SCB) problems, an agent selects an acti...
research
∙
03/07/2021
Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods
Stochastically controlled stochastic gradient (SCSG) methods have been p...
research
∙
12/31/2020
Federated Nonconvex Sparse Learning
Nonconvex sparse learning plays an essential role in many areas, such as...
research
∙
11/02/2020
Asynchronous Parallel Stochastic Quasi-Newton Methods
Although first-order stochastic algorithms, such as stochastic gradient ...
research
∙
09/14/2020
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning
Sparse learning is a very important tool for mining useful information a...
research
∙
09/14/2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data
Federated learning allows loads of edge computing devices to collaborati...
research
∙
08/11/2020
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
The Alternating Direction Method of Multipliers (ADMM) and its distribut...
research
∙
08/02/2019