Neural Architecture Search (NAS) technologies have been successfully
per...
Recent developments on large-scale distributed machine learning applicat...
The recent rising popularity of ultra-fast delivery services on retail
p...
Speed and cost of logistics are two major concerns to on-line shoppers, ...
For large scale non-convex stochastic optimization, parallel mini-batch ...
Learning with a convex loss function has been a dominating paradigm for...
Hybrid circuit and packet switching for data center networking (DCN) has...
Most of today's high-speed switches and routers adopt an input-queued
cr...
Adapted from biological sequence alignment, trace alignment is a process...
Trace alignment algorithms have been used in process mining for discover...
In this paper, we consider the problem of estimating multiple graphical
...