We consider the problem of optimizing a grey-box objective function, i.e...
Temporal Knowledge graph completion (TKGC) is a crucial task that involv...
This paper studies the problem of online performance optimization of
con...
We study the problem of performance optimization of closed-loop control
...
In this paper, the CONFIG algorithm, a simple and provably efficient
con...
Link prediction is the task of inferring missing links between entities ...
Efficient global optimization is a widely used method for optimizing
exp...
Geometrical structures and the internal local region relationship, such ...
We study the problem of performance optimization of closed-loop control
...
This paper reviews the AIM 2020 challenge on efficient single image
supe...
BGP is the default inter-domain routing protocol in today's Internet, bu...
Bayesian inverse modeling is important for a better understanding of
hyd...