88 citations · 171 across the 39 of their papers we have counts for
3 papers · 1 filter
Ordinal Bayesian Optimisation
Victor Picheny, Sattar Vakili, Artem Artemev
Bayesian optimisation is a powerful tool to solve expensive black-box problems, but fails when the stationary assumption made on the objective function is strongly violated, which…
Adaptive Sensor Placement for Continuous Spaces
James A Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths +3
We consider the problem of adaptively placing sensors along an interval to detect stochastically-generated events. We present a new formulation of the problem as a continuum-armed…
Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization
Sattar Vakili, Sudeep Salgia, Qing Zhao
Online minimization of an unknown convex function over the interval is considered under first-order stochastic bandit feedback, which returns a random realization of the gr…