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pro vyhledávání: '"Grant, James P."'
This paper introduces a novel approach to personalised federated learning within the $\mathcal{X}$-armed bandit framework, addressing the challenge of optimising both local and global objectives in a highly heterogeneous environment. Our method emplo
Externí odkaz:
http://arxiv.org/abs/2409.07251
The relationship between a set of design points and the class of hierarchical polynomial models identifiable from the design is investigated. Saturated models are of particular interest. Necessary and sufficient conditions are derived on the set of d
Externí odkaz:
http://arxiv.org/abs/2409.07062
Autor:
Liu, Zelong, Zhou, Alexander, Yang, Arnold, Yilmaz, Alara, Yoo, Maxwell, Sullivan, Mikey, Zhang, Catherine, Grant, James, Li, Daiqing, Fayad, Zahi A., Huver, Sean, Deyer, Timothy, Mei, Xueyan
Deep learning in medical imaging often requires large-scale, high-quality data or initiation with suitably pre-trained weights. However, medical datasets are limited by data availability, domain-specific knowledge, and privacy concerns, and the creat
Externí odkaz:
http://arxiv.org/abs/2312.05953
Classification of gene trees is an important task both in the analysis of multi-locus phylogenetic data, and assessment of the convergence of Markov Chain Monte Carlo (MCMC) analyses used in Bayesian phylogenetic tree reconstruction. The logistic reg
Externí odkaz:
http://arxiv.org/abs/2306.08796
Autor:
Shah, Yash D., Dada, Adetunmise C., Grant, James P., Cumming, David R. S., Altuzarra, Charles, Nowack, Thomas S., Lyons, Ashley, Clerici, Matteo, Faccio, Daniele
Publikováno v:
ACS Photonics 2022, 9, 10, 3245-3252
The polarization state of light is a key parameter in many imaging systems. For example, it can image mechanical stress and other physical properties that are not seen with conventional imaging, and can also play a central role in quantum sensing. Ho
Externí odkaz:
http://arxiv.org/abs/2203.05590
Autor:
Grant, James A., Leslie, David S.
We consider a variant of online binary classification where a learner sequentially assigns labels ($0$ or $1$) to items with unknown true class. If, but only if, the learner chooses label $1$ they immediately observe the true label of the item. The l
Externí odkaz:
http://arxiv.org/abs/2109.14412
Over the past thirty years or so the authors have been teaching various programming for mathematics courses at our respective Universities, as well as incorporating computer algebra and numerical computation into traditional mathematics courses. Thes
Externí odkaz:
http://arxiv.org/abs/2010.16300
Autor:
Grant, James A., Leslie, David S.
Learning the optimal ordering of content is an important challenge in website design. The learning to rank (LTR) framework models this problem as a sequential problem of selecting lists of content and observing where users decide to click. Most previ
Externí odkaz:
http://arxiv.org/abs/2009.03207
Atomistic simulation drives scientific advances in modern material science and accounts for a significant proportion of wall time on High Performance Computing facilities. It is important that algorithms are efficient and implementations are performa
Externí odkaz:
http://arxiv.org/abs/2007.10054
Autor:
Grant, James A., Szechtman, Roberto
We consider a version of the continuum armed bandit where an action induces a filtered realisation of a non-homogeneous Poisson process. Point data in the filtered sample are then revealed to the decision-maker, whose reward is the total number of re
Externí odkaz:
http://arxiv.org/abs/2007.09966