James Grant

PhD student


I am a final year PhD student in the STOR-i Center for Doctoral Training. My PhD research focusses on sequential decision making problems with point process data as rewards. In particular I am interested in various bandit learning problems with Poisson process feedback - these problems are useful models of problems in surveillance and data collection. My other research interests include recommender systems and Bayesian nonparametrics. Prior to coming to Lancaster I completed a masters degree at the University of Glasgow and undergraduate degree at Heriot-Watt University, Edinburgh.

Homepage: http://www.lancaster.ac.uk/pg/grantj/index.html

Adaptive sensor placement for continuous spaces
Grant, J., Boukouvalas, A., Griffiths, R., Leslie, D., Vakili, S., Munoz de Cote, E. 24/04/2019 In: International Conference on Machine Learning 2019.
Conference contribution

Adaptive Policies for Perimeter Surveillance Problems
Grant, J.A., Leslie, D.S., Glazebrook, K., Szechtman, R., Letchford, A. 4/10/2018 In: arxiv.org.
Journal article

Combinatorial Multi-Armed Bandits with Filtered Feedback
Grant, J.A., Leslie, D.S., Glazebrook, K., Szechtman, R. 26/05/2017 In: arxiv.org.
Journal article