Leslie, David S.

7 publications

NeurIPSW 2024 BALLAST: Bayesian Active Learning with Look-Ahead Amendment for Sea-Drifter Trajectories Rui-Yang Zhang, Henry Moss, Lachlan Astfalck, Edward Cripps, David S. Leslie

TMLR 2024 Federated $\mathcal{X}$-Armed Bandit with Flexible Personalisation Ali Arabzadeh, James A. Grant, David S. Leslie

JMLR 2023 Learning to Rank Under Multinomial Logit Choice James A. Grant, David S. Leslie

JMLR 2021 GIBBON: General-Purpose Information-Based Bayesian Optimisation Henry B. Moss, David S. Leslie, Javier Gonzalez, Paul Rayson

ECML-PKDD 2020 MUMBO: MUlti-Task Max-Value Bayesian Optimization Henry B. Moss, David S. Leslie, Paul Rayson

JMLR 2012 Optimistic Bayesian Sampling in Contextual-Bandit Problems Benedict C. May, Nathan Korda, Anthony Lee, David S. Leslie

JAIR 2008 On Similarities Between Inference in Game Theory and Machine Learning Iead Rezek, David S. Leslie, Steven Reece, Stephen J. Roberts, Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings