- Paper: A short proof of the Dvoretzky--Kiefer--Wolfowitz--Massart inequality
- Paper: Isotonic subgroup selection, co-authored with Manuel Müller et al.
- Paper: Optimal subgroup selection, co-authored with Timothy I Cannnings et al.
- Paper: Adaptive transfer learning, co-authored with Timothy I Cannnings et al.
- Paper: Score Matching with Missing Data, co-authored with Josh Givens et al.
- Paper: Conditional Outcome Equivalence: A Quantile Alternative to CATE, co-authored with Josh Givens et al.
- Paper: Density ratio estimation and Neyman Pearson classification with missing data, co-authored with Josh Givens et al.
- Paper: Heterogeneous sets in dimensionality reduction and ensemble learning, co-authored with Ata Kabán and Jakramate Bootkrajang
- Paper: Structure discovery in PAC-learning by random projections, co-authored with Ata Kabán
- Paper: Regret bounds for multilabel classification in sparse label regimes, co-authored with R Busa-Fekete et al.
- Paper: Statistical optimality conditions for compressive ensembles, co-authored with Ata Kabán
- Paper: Optimistic bounds for multi-output prediction, co-authored with Ata Kabán
- Paper: To Ensemble or Not Ensemble: When does End-To-End Training Fail?, co-authored with Andrew Webb et al.
Research Experience
- Formerly a Senior Lecturer at the University of Bristol
- Currently an Associate Professor at the School of Artificial Intelligence, Nanjing University, leading the Adaptive Non-parametric Inference and Machine Learning group
Education
- PhD in Computer Science from the University of Manchester, supervised by Professor Gavin Brown
- PhD in Pure Mathematics from the University of Bristol, supervised by Dr. Thomas Jordan
- Post-doctoral research at the University of Birmingham, mentored by Professor Ata Kabán
Background
Associate Professor at the School of Artificial Intelligence, Nanjing University (China) and Honorary Senior Lecturer in Statistical Science at the University of Bristol (UK). Research interests include Statistics and Machine Learning, with a focus on transfer learning, subgroup discovery, compressive learning, classification with label noise, structured prediction, and multi-armed bandits.
Miscellany
Recruiting PhD students with a strong enthusiasm for research and a solid foundation in mathematics to work on the foundations of Artificial Intelligence at Nanjing University.