Although data-driven methods usually have noticeable performance on dise...
As a metric to measure the performance of an online method, dynamic regr...
Simultaneous clustering and optimization (SCO) has recently drawn much
a...
Decentralized Online Learning (online learning in decentralized networks...
We provide a new theoretical analysis framework to investigate online
gr...
In online learning, the dynamic regret metric chooses the reference (opt...
Recently, network lasso has drawn many attentions due to its remarkable
...