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cs.LG2012★ 69 cited
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
Thomas Desautels, Andreas Krause, Joel Burdick
Can one parallelize complex exploration exploitation tradeoffs? As an example, consider the problem of optimal high-throughput experimental design, where we wish to sequentially de…
cs.LG2012★ 30 cited
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes
Bo Chen, Rui Castro, Andreas Krause
Maximizing high-dimensional, non-convex functions through noisy observations is a notoriously hard problem, but one that arises in many applications. In this paper, we tackle this…
cs.LG2010
Online Distributed Sensor Selection
Daniel Golovin, Matthew Faulkner, Andreas Krause
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to con…