Combinatorial Multi-Armed Bandits with Filtered Feedback. - James A. Grant; David S. Leslie; Kevin Glazebrook; Roberto Szechtman (CoRR, 2017)

Adaptive Sensor Placement for Continuous Spaces. - James A. Grant; Alexis Boukouvalas; Ryan-Rhys Griffiths; David S. Leslie; Sattar Vakili; Enrique Munoz de Cote (ICML, 2019)

On Thompson Sampling for Smoother-than-Lipschitz Bandits. - James A. Grant; David S. Leslie (AISTATS, 2020)

Adaptive policies for perimeter surveillance problems. - James A. Grant; David S. Leslie; Kevin Glazebrook; Roberto Szechtman; Adam N. Letchford (Eur. J. Oper. Res., 2020)

Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification. - James A. Grant; David S. Leslie (CoRR, 2021)

Filtered poisson process bandit on a continuum. - James A. Grant; Roberto Szechtman (Eur. J. Oper. Res., 2021)

Sequential Simulation Optimization with Censoring: An Application to Bike Sharing Systems. - Cedric Gibbons; James A. Grant; Roberto Szechtman (WSC, 2023)

Learning to Rank under Multinomial Logit Choice. - James A. Grant; David S. Leslie (J. Mach. Learn. Res., 2023)

Federated 𝒳-armed Bandit with Flexible Personalisation. - Ali Arabzadeh; James A. Grant; David S. Leslie (Trans. Mach. Learn. Res., 2024)