Henry W. J. Reeve

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Neural Network Ensembles

Top Venues

Publications

Henry W. J. Reeve
An adaptive transfer learning perspective on classification in non-stationary environments. CoRR (2024)
Ata Kabán, Henry W. J. Reeve
Structure discovery in PAC-learning by random projections. Mach. Learn. 113 (8) (2024)
Henry W. J. Reeve, Ata Kabán, Jakramate Bootkrajang
Heterogeneous sets in dimensionality reduction and ensemble learning. Mach. Learn. 113 (4) (2024)
Josh Givens, Song Liu, Henry W. J. Reeve
Density Ratio Estimation and Neyman Pearson Classification with Missing Data. AISTATS (2023)
Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown
A Unified Theory of Diversity in Ensemble Learning. CoRR (2023)
Conor J. Newton, Ayalvadi Ganesh, Henry W. J. Reeve
Asymptotic Optimality for Decentralised Bandits. Dyn. Games Appl. 13 (1) (2023)
Josh Givens, Song Liu, Henry W. J. Reeve
Density Ratio Estimation and Neyman Pearson Classification with Missing Data. CoRR (2023)
Conor Newton, Ayalvadi Ganesh, Henry W. J. Reeve
Asymptotic Optimality for Decentralised Bandits. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Henry W. J. Reeve, Ata Kabán
Statistical optimality conditions for compressive ensembles. CoRR (2021)
Henry W. J. Reeve, Timothy I. Cannings, Richard J. Samworth
Optimal subgroup selection. CoRR (2021)
Conor Newton, Ayalvadi Ganesh, Henry W. J. Reeve
Asymptotic Optimality for Decentralised Bandits. CoRR (2021)
Henry W. J. Reeve, Timothy I. Cannings, Richard J. Samworth
Adaptive transfer learning. CoRR (2021)
Nikolaos Nikolaou, Henry W. J. Reeve, Gavin Brown
Margin Maximization as Lossless Maximal Compression. CoRR (2020)
Henry W. J. Reeve, Ata Kabán
Optimistic Bounds for Multi-output Learning. ICML (2020)
Henry W. J. Reeve, Ata Kabán
Optimistic bounds for multi-output prediction. CoRR (2020)
Andrew M. Webb, Charles Reynolds, Wenlin Chen, Henry W. J. Reeve, Dan-Andrei Iliescu, Mikel Luján, Gavin Brown
To Ensemble or Not Ensemble: When Does End-to-End Training Fail? ECML/PKDD (3) (2020)
Henry W. J. Reeve, Ata Kabán
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. ICML (2019)
Henry W. J. Reeve, Ata Kabán
Classification with unknown class conditional label noise on non-compact feature spaces. CoRR (2019)
Andrew M. Webb, Charles Reynolds, Dan-Andrei Iliescu, Henry W. J. Reeve, Mikel Luján, Gavin Brown
Joint Training of Neural Network Ensembles. CoRR (2019)
Henry W. J. Reeve, Ata Kabán
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. CoRR (2019)
Henry W. J. Reeve, Ata Kabán
Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators. ALT (2019)
Henry W. J. Reeve, Ata Kabán
Classification with unknown class-conditional label noise on non-compact feature spaces. COLT (2019)
Henry W. J. Reeve, Gavin Brown
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours. CoRR (2018)
Henry W. J. Reeve, Joe Mellor, Gavin Brown
The K-Nearest Neighbour UCB algorithm for multi-armed bandits with covariates. CoRR (2018)
Henry W. J. Reeve, Gavin Brown
Diversity and degrees of freedom in regression ensembles. CoRR (2018)
Henry W. J. Reeve, Gavin Brown
Diversity and degrees of freedom in regression ensembles. Neurocomputing 298 (2018)
Henry W. J. Reeve, Joe Mellor, Gavin Brown
The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates. ALT (2018)
Henry W. J. Reeve, Tingting Mu, Gavin Brown
Modular Dimensionality Reduction. ECML/PKDD (1) (2018)
Henry W. J. Reeve, Gavin Brown
Degrees of Freedom in Regression Ensembles. ESANN (2017)
Henry W. J. Reeve, Gavin Brown
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours. ALT (2017)
Henry W. J. Reeve, Gavin Brown
Modular Autoencoders for Ensemble Feature Extraction. FE@NIPS (2015)
Henry W. J. Reeve, Gavin Brown
Modular Autoencoders for Ensemble Feature Extraction. CoRR (2015)