Items where Author is "Grant, James A."

Journal Article

He, Changjiang and Leslie, David S. and Grant, James A. (2024) Online Detection and Fuzzy Clustering of Anomalies in Non-Stationary Time Series. Signals, 5 (1). pp. 40-59. ISSN 2624-6120

Grant, James A. and Leslie, David S. (2020) Learning to Rank under Multinomial Logit Choice. arXiv.org.

Grant, James A. and Szechtman, Roberto (2020) Filtered Poisson Process Bandit on a Continuum. arXiv.org.

Grant, James A. and Leslie, David S. and Glazebrook, Kevin and Szechtman, Roberto and Letchford, Adam (2020) Adaptive policies for perimeter surveillance problems. European Journal of Operational Research, 283 (1). pp. 265-278. ISSN 0377-2217

Grant, James A. and Leslie, David S. (2019) Posterior Contraction Rates for Gaussian Cox Processes with Non-identically Distributed Data. arxiv.org.

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

Contribution in Book/Report/Proceedings

Gibbons, Cedric and Grant, James A. and Szechtman, Roberto (2024) Sequential Simulation Optimization with Censoring : An Application to Bike Sharing Systems. In: 2023 Winter Simulation Conference, WSC 2023 :. Proceedings - Winter Simulation Conference . Institute of Electrical and Electronics Engineers Inc., USA, pp. 3624-3635. ISBN 9798350369663

Grant, James A. and Leslie, David S. (2020) On Thompson Sampling for Smoother-than-Lipschitz Bandits. In: 23rd International Conference on Artificial Intelligence and Statistics :. Proceedings of Machine Learning Research . Proceedings of Machine Learning Research, pp. 2612-2622.

Monograph

Arabzadeh, Ali and Grant, James A. and Leslie, David S. (2024) Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation. Other. Arxiv.

Grant, James A. and Leslie, David S. (2021) Apple Tasting Revisited : Bayesian Approaches to Partially Monitored Online Binary Classification. Other. Arxiv.