James A. Grant

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 12

Top Topics

Poisson Process

Learning To Rank

Sampling Strategy

Sensor Placement

Top Venues

Eur. J. Oper. Res.

Publications

Cedric Gibbons, James A. Grant, Roberto Szechtman
Sequential Simulation Optimization with Censoring: An Application to Bike Sharing Systems. WSC (2023)
James A. Grant, Roberto Szechtman
Filtered poisson process bandit on a continuum. Eur. J. Oper. Res. 295 (2) (2021)
James A. Grant, David S. Leslie
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification. CoRR (2021)
James A. Grant, David S. Leslie
On Thompson Sampling for Smoother-than-Lipschitz Bandits. CoRR (2020)
James A. Grant, David S. Leslie
On Thompson Sampling for Smoother-than-Lipschitz Bandits. AISTATS (2020)
James A. Grant, David S. Leslie, Kevin Glazebrook, Roberto Szechtman, Adam N. Letchford
Adaptive policies for perimeter surveillance problems. Eur. J. Oper. Res. 283 (1) (2020)
James A. Grant, David S. Leslie
Learning to Rank under Multinomial Logit Choice. CoRR (2020)
James A. Grant, Roberto Szechtman
Filtered Poisson Process Bandit on a Continuum. CoRR (2020)
James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
Adaptive Sensor Placement for Continuous Spaces. ICML (2019)
James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
Adaptive Sensor Placement for Continuous Spaces. CoRR (2019)
James A. Grant, David S. Leslie, Kevin Glazebrook, Roberto Szechtman, Adam N. Letchford
Adaptive Policies for Perimeter Surveillance Problems. CoRR (2018)
James A. Grant, David S. Leslie, Kevin Glazebrook, Roberto Szechtman
Combinatorial Multi-Armed Bandits with Filtered Feedback. CoRR (2017)