79 citations · 182 across the 16 of their papers we have counts for
4 papers · 1 filter
An Adaptive Strategy for Active Learning with Smooth Decision Boundary
Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe
We present the first adaptive strategy for active learning in the setting of classification with smooth decision boundary. The problem of adaptivity (to unknown distributional para…
Two-Sample Tests for Large Random Graphs Using Network Statistics
Debarghya Ghoshdastidar, Maurilio Gutzeit, Alexandra Carpentier +1
We consider a two-sample hypothesis testing problem, where the distributions are defined on the space of undirected graphs, and one has access to only one observation from each mod…
Adaptivity to Noise Parameters in Nonparametric Active Learning
Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe
This work addresses various open questions in the theory of active learning for nonparametric classification. Our contributions are both statistical and algorithmic: -We establish…
Adaptive estimation of the sparsity in the Gaussian vector model
Alexandra Carpentier, Nicolas Verzelen
Consider the Gaussian vector model with mean value θ. We study the twin problems of estimating the number |θ|_0 of non-zero components of θ and testing whether |θ|_0 is smaller tha…