282 citations · 327 across the 11 of their papers we have counts for
4 papers · 1 filter
Is feature selection secure against training data poisoning?
Huang Xiao, Battista Biggio, Gavin Brown +3
Learning in adversarial settings is becoming an important task for application domains where attackers may inject malicious data into the training set to subvert normal operation o…
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…
Diversity and degrees of freedom in regression ensembles
Henry WJ Reeve, Gavin Brown
Ensemble methods are a cornerstone of modern machine learning. The performance of an ensemble depends crucially upon the level of diversity between its constituent learners. This p…
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours
Henry WJ Reeve, Gavin Brown
We study the approximate nearest neighbour method for cost-sensitive classification on low-dimensional manifolds embedded within a high-dimensional feature space. We determine the…