Neural Architecture Search (NAS) has seen an explosion of research in th...
We describe ChemBO, a Bayesian Optimization framework for generating and...
Bayesian Optimisation (BO), refers to a suite of techniques for global
o...
Optimizing an expensive-to-query function is a common task in science an...
Raven's Progressive Matrices are one of the widely used tests in evaluat...
We design a new myopic strategy for a wide class of sequential design of...
Bayesian Optimisation (BO) refers to a class of methods for global
optim...
Record linkage involves merging records in large, noisy databases to rem...
While Bayesian methods are praised for their ability to incorporate usef...
We develop a parallel variational inference (VI) procedure for use in
da...
We analyze the problem of regression when both input covariates and outp...
We develop parallel and distributed Frank-Wolfe algorithms; the former o...
Communication costs, resulting from synchronization requirements during
...
This paper proposes a technique for the unsupervised detection and track...