Dr Henry Reeve
MMathPhil, PhD, PhD
Expertise
My research is on Statistics and Machine Learning. Recently, I have been interested in transfer learning, subgroup discovery, compressive learning, classification with label noise, structured prediction and multi-armed bandits.
Current positions
Lecturer
School of Mathematics
Contact
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Research interests
My research is on Statistics and Machine Learning. Recently, I have been interested in transfer learning, subgroup discovery, compressive learning, classification with label noise, structured prediction and multi-armed bandits. See https://henryreeve.netlify.app/ for more information.
Publications
Recent publications
25/04/2023Density Ratio Estimation and Neyman Pearson Classification with Missing Data
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics
Asymptotic Optimality for Decentralised Bandits
Dynamic Games and Applications
Asymptotic Optimality for Decentralised Bandits
Adaptive transfer learning
Annals of Statistics
Optimistic Bounds for Multi-output Prediction
Proceedings of Machine Learning Research