Representation learning for time series has been an important research a...
Time series forecasting using historical data has been an interesting an...
Queueing systems appear in many important real-life applications includi...
Stochastic gradient descent (SGD) algorithm is the method of choice in m...
In this paper, we propose Nesterov Accelerated Shuffling Gradient (NASG)...
Deep neural networks (DNNs) have shown great success in many machine lea...
We combine two advanced ideas widely used in optimization for machine
le...