Bayesian optimization is a sequential decision making framework for
opti...
In this paper, we study the statistical properties of the kernel k-means...
Finite-horizon sequential decision problems arise naturally in many mach...
Graph structured data are abundant in the real world. Among different gr...
Active search is a learning paradigm for actively identifying as many me...