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05/08/2023
Isotonic subgroup selection
Given a sample of covariate-response pairs, we consider the subgroup sel...
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02/21/2023
Density Ratio Estimation and Neyman Pearson Classification with Missing Data
Density Ratio Estimation (DRE) is an important machine learning techniqu...
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09/20/2021
Asymptotic Optimality for Decentralised Bandits
We consider a large number of agents collaborating on a multi-armed band...
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09/02/2021
Optimal subgroup selection
In clinical trials and other applications, we often see regions of the f...
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06/08/2021
Adaptive transfer learning
In transfer learning, we wish to make inference about a target populatio...
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06/02/2021
Statistical optimality conditions for compressive ensembles
We present a framework for the theoretical analysis of ensembles of low-...
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06/11/2019
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise
We consider classification in the presence of class-dependent asymmetric...
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02/14/2019