43 citations · 84 across the 4 of their papers we have counts for
4 papers
Neural Architecture Search without Training
Joseph Mellor, Jack Turner, Amos Storkey +1
The time and effort involved in hand-designing deep neural networks is immense. This has prompted the development of Neural Architecture Search (NAS) techniques to automate this de…
Better Boosting with Bandits for Online Learning
Nikolaos Nikolaou, Joseph Mellor, Nikunj C. Oza +1
Probability estimates generated by boosting ensembles are poorly calibrated because of the margin maximization nature of the algorithm. The outputs of the ensemble need to be prope…
The K-Nearest Neighbour UCB algorithm for multi-armed bandits with covariates
Henry WJ Reeve, Joe Mellor, Gavin Brown
In this paper we propose and explore the k-Nearest Neighbour UCB algorithm for multi-armed bandits with covariates. We focus on a setting where the covariates are supported on a me…
Thompson Sampling in Switching Environments with Bayesian Online Change Point Detection
Joseph Mellor, Jonathan Shapiro
Thompson Sampling has recently been shown to be optimal in the Bernoulli Multi-Armed Bandit setting[Kaufmann et al., 2012]. This bandit problem assumes stationary distributions for…