PreprintsTropical Logistic Regression Model on Space of Phylogenetic Trees G. Aliatimis, R. Yoshida, B. Boyaci, J.A. Grant. (In Submission) Learning to Rank under Multinomial Logit Choice J.A. Grant, D.S. Leslie. (In Submission) Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification J.A. Grant, D.S. Leslie. (In Submission)
PublishedFiltered Poisson Process Bandit on a Continuum J.A. Grant, R. Szechtman. (2021) European Journal of Operational Research
OtherPoisson Process Bandits: Sequential Models and Algorithms for Maximising the Detection of Point Data J.A. Grant (2019, PhD Thesis)
Technical Talks on Specific PapersApple Tasting Revisited - Cardiff University OR Department Seminar 2022 | Slides
Overviews and Lighter IntroductionsBandit Approaches to Balance Exploration and Exploitation - Nordic Personalisation Day 2023 (Keynote at Recommender Systems-focussed conference) | Recording (From 09:20) | Slides
Group Members (Supervisees)Current Students
This year I am leading the module MATH330 Likelihood Inference, in weeks 1-5 of Michaelmas term. Current Lancaster students can find the MATH330 Moodle page here and access additional support via email, or office hours on Thursdays from 1200-1300 (appointments outside this time can be arranged on an individual basis).