research
∙
06/11/2023
Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach
Representation learning for time series has been an important research a...
share
research
∙
06/01/2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
Time series forecasting using historical data has been an interesting an...
research
∙
06/21/2022
Finding Optimal Policy for Queueing Models: New Parameterization
Queueing systems appear in many important real-life applications includi...
research
∙
06/13/2022
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
Stochastic gradient descent (SGD) algorithm is the method of choice in m...
research
∙
02/07/2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
In this paper, we propose Nesterov Accelerated Shuffling Gradient (NASG)...
research
∙
02/07/2022
Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution
Deep neural networks (DNNs) have shown great success in many machine lea...
research
∙
11/24/2020
