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James A Grant
James A Grant
Lecturer in Statistics, Lancaster University
Verified email at lancaster.ac.uk - Homepage
Title
Cited by
Cited by
Year
Adaptive Sensor Placement for Continuous Spaces
JA Grant, A Boukouvalas, RR Griffiths, DS Leslie, S Vakili, EM de Cote
36th International Conference on Machine Learning, 2019
192019
Adaptive Policies for Perimeter Surveillance Problems
JA Grant, DS Leslie, K Glazebrook, R Szechtman, A Letchford
European Journal of Operational Research 283 (1), 265-278, 2020
122020
On Thompson Sampling for Smoother-than-Lipschitz Bandits
JA Grant, DS Leslie
23rd International Conference on Artificial Intelligence and Statistics …, 2020
62020
Tropical logistic regression model on space of phylogenetic trees
G Aliatimis, R Yoshida, B Boyaci, JA Grant
Bulletin of Mathematical Biology 86 (99), 1-42, 2024
52024
Bayesian changepoint detection in solar activity data
J Grant
University of Glasgow, 2014
5*2014
Filtered poisson process bandit on a continuum
JA Grant, R Szechtman
European Journal of Operational Research 295 (2), 575-586, 2021
42021
Apple tasting revisited: Bayesian approaches to partially monitored online binary classification
JA Grant, DS Leslie
arXiv preprint arXiv:2109.14412, 2021
32021
Online Detection and Fuzzy Clustering of Anomalies in Non-Stationary Time Series
C He, DS Leslie, JA Grant
Signals 5 (1), 40-59, 2024
22024
Poisson Process Bandits: Sequential Models and Algorithms for Maximising the Detection of Point Data
J Grant
Lancaster University, 2020
22020
Combinatorial Multi-Armed Bandits with Filtered Feedback
JA Grant, DS Leslie, K Glazebrook, R Szechtman
arXiv preprint arXiv:1705.09605, 2017
22017
Federated -armed Bandit with Flexible Personalisation
A Arabzadeh, JA Grant, DS Leslie
arXiv preprint arXiv:2409.07251, 2024
2024
Sequential Simulation Optimization with Censoring: An Application to Bike Sharing Systems
C Gibbons, JA Grant, R Szechtman
2023 Winter Simulation Conference (WSC), 3624-3635, 2023
2023
Learning to Rank under Multinomial Logit Choice
JA Grant, DS Leslie
Journal of Machine Learning Research 24 (260), 1-49, 2023
2023
Posterior Contraction Rates for Gaussian Cox Processes with Non-identically Distributed Data
JA Grant, DS Leslie
arXiv preprint arXiv:1906.08799, 2019
2019
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Articles 1–14