Henry W. J. Reeve

40 papers A* 5A 1B 4Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering. CoRR Isabella Degen, Zahraa S. Abdallah, Henry W. J. Reeve, Kate Robson Brown
2025	J	`jnl`	Canonical Correlation Patterns for Validating Clustering of Multivariate Time Series. CoRR Isabella Degen, Zahraa S. Abdallah, Kate Robson Brown, Henry W. J. Reeve
2025	J	`jnl`	Score Matching With Missing Data. CoRR Josh Givens, Song Liu, Henry W. J. Reeve
2025	A*	`conf`	Score Matching with Missing Data. ICML Josh Givens, Song Liu, Henry W. J. Reeve
2024	J	`jnl`	An adaptive transfer learning perspective on classification in non-stationary environments. CoRR Henry W. J. Reeve
2024	A*	`conf`	Conditional Outcome Equivalence: A Quantile Alternative to CATE. NeurIPS Josh Givens, Henry W. J. Reeve, Song Liu, Katarzyna Reluga
2024	J	`jnl`	Efficient learning with projected histograms. Data Min. Knowl. Discov. Zhanliang Huang, Ata Kabán, Henry W. J. Reeve
2024	J	`jnl`	Heterogeneous sets in dimensionality reduction and ensemble learning. Mach. Learn. Henry W. J. Reeve, Ata Kabán, Jakramate Bootkrajang
2024	J	`jnl`	Structure discovery in PAC-learning by random projections. Mach. Learn. Ata Kabán, Henry W. J. Reeve
2023	J	`jnl`	A Unified Theory of Diversity in Ensemble Learning. CoRR Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown
2023	J	`jnl`	A Unified Theory of Diversity in Ensemble Learning. J. Mach. Learn. Res. Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown
2023	J	`jnl`	Asymptotic Optimality for Decentralised Bandits. Dyn. Games Appl. Conor J. Newton, Ayalvadi Ganesh, Henry W. J. Reeve
2023	A	`conf`	Density Ratio Estimation and Neyman Pearson Classification with Missing Data. AISTATS Josh Givens, Song Liu, Henry W. J. Reeve
2023	J	`jnl`	Density Ratio Estimation and Neyman Pearson Classification with Missing Data. CoRR Josh Givens, Song Liu, Henry W. J. Reeve
2022	J	`jnl`	Asymptotic Optimality for Decentralised Bandits. SIGMETRICS Perform. Evaluation Rev. Conor Newton, Ayalvadi Ganesh, Henry W. J. Reeve
2021	J	`jnl`	Adaptive transfer learning. CoRR Henry W. J. Reeve, Timothy I. Cannings, Richard J. Samworth
2021	J	`jnl`	Asymptotic Optimality for Decentralised Bandits. CoRR Conor Newton, Ayalvadi Ganesh, Henry W. J. Reeve
2021	J	`jnl`	Optimal subgroup selection. CoRR Henry W. J. Reeve, Timothy I. Cannings, Richard J. Samworth
2021	J	`jnl`	Statistical optimality conditions for compressive ensembles. CoRR Henry W. J. Reeve, Ata Kabán
2020	J	`jnl`	Margin Maximization as Lossless Maximal Compression. CoRR Nikolaos Nikolaou, Henry W. J. Reeve, Gavin Brown
2020	A*	`conf`	Optimistic Bounds for Multi-output Learning. ICML Henry W. J. Reeve, Ata Kabán
2020	J	`jnl`	Optimistic bounds for multi-output prediction. CoRR Henry W. J. Reeve, Ata Kabán
2020	—	`conf`	To Ensemble or Not Ensemble: When Does End-to-End Training Fail? ECML/PKDD (3) Andrew M. Webb, Charles Reynolds, Wenlin Chen, Henry W. J. Reeve, Dan-Andrei Iliescu, Mikel Luján, Gavin Brown
2019	J	`jnl`	Classification with unknown class conditional label noise on non-compact feature spaces. CoRR Henry W. J. Reeve, Ata Kabán
2019	A*	`conf`	Classification with unknown class-conditional label noise on non-compact feature spaces. COLT Henry W. J. Reeve, Ata Kabán
2019	B	`conf`	Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators. ALT Henry W. J. Reeve, Ata Kabán
2019	A*	`conf`	Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. ICML Henry W. J. Reeve, Ata Kabán
2019	J	`jnl`	Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. CoRR Henry W. J. Reeve, Ata Kabán
2019	J	`jnl`	Joint Training of Neural Network Ensembles. CoRR Andrew M. Webb, Charles Reynolds, Dan-Andrei Iliescu, Henry W. J. Reeve, Mikel Luján, Gavin Brown
2019	—	`—`	Learning in high dimensions with asymmetric costs. Henry W. J. Reeve
2018	J	`jnl`	Diversity and degrees of freedom in regression ensembles. CoRR Henry W. J. Reeve, Gavin Brown
2018	J	`jnl`	Diversity and degrees of freedom in regression ensembles. Neurocomputing Henry W. J. Reeve, Gavin Brown
2018	J	`jnl`	Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours. CoRR Henry W. J. Reeve, Gavin Brown
2018	—	`conf`	Modular Dimensionality Reduction. ECML/PKDD (1) Henry W. J. Reeve, Tingting Mu, Gavin Brown
2018	B	`conf`	The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates. ALT Henry W. J. Reeve, Joe Mellor, Gavin Brown
2018	J	`jnl`	The K-Nearest Neighbour UCB algorithm for multi-armed bandits with covariates. CoRR Henry W. J. Reeve, Joe Mellor, Gavin Brown
2017	B	`conf`	Degrees of Freedom in Regression Ensembles. ESANN Henry W. J. Reeve, Gavin Brown
2017	B	`conf`	Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours. ALT Henry W. J. Reeve, Gavin Brown
2015	—	`conf`	Modular Autoencoders for Ensemble Feature Extraction. FE@NIPS Henry W. J. Reeve, Gavin Brown
2015	J	`jnl`	Modular Autoencoders for Ensemble Feature Extraction. CoRR Henry W. J. Reeve, Gavin Brown