Zobrazeno 1 - 10
of 3 479
pro vyhledávání: '"A. Flaxman"'
We develop the framework of Indirect Query Bayesian Optimization (IQBO), a new class of Bayesian optimization problems where the integrated feedback is given via a conditional expectation of the unknown function $f$ to be optimized. The underlying co
Externí odkaz:
http://arxiv.org/abs/2412.13559
Autor:
Yang, Fan, Ishida, Sahoko, Zhang, Mengyan, Jenson, Daniel, Mishra, Swapnil, Navott, Jhonathan, Flaxman, Seth
Remote sensing imagery offers rich spectral data across extensive areas for Earth observation. Many attempts have been made to leverage these data with transfer learning to develop scalable alternatives for estimating socio-economic conditions, reduc
Externí odkaz:
http://arxiv.org/abs/2411.14119
Autor:
Jenson, Daniel, Navott, Jhonathan, Zhang, Mengyan, Sharma, Makkunda, Semenova, Elizaveta, Flaxman, Seth
Stochastic processes model various natural phenomena from disease transmission to stock prices, but simulating and quantifying their uncertainty can be computationally challenging. For example, modeling a Gaussian Process with standard statistical me
Externí odkaz:
http://arxiv.org/abs/2411.12502
We study the problem of globally optimising a target variable of an unknown causal graph on which a sequence of soft or hard interventions can be performed. The problem of optimising the target variable associated with a causal graph is formalised as
Externí odkaz:
http://arxiv.org/abs/2411.03028
Autor:
Sharma, Makkunda, Yang, Fan, Vo, Duy-Nhat, Suel, Esra, Mishra, Swapnil, Bhatt, Samir, Fiala, Oliver, Rudgard, William, Flaxman, Seth
Satellite imagery has emerged as an important tool to analyse demographic, health, and development indicators. While various deep learning models have been built for these tasks, each is specific to a particular problem, with few standard benchmarks
Externí odkaz:
http://arxiv.org/abs/2407.05986
Model-based disease mapping remains a fundamental policy-informing tool in the fields of public health and disease surveillance. Hierarchical Bayesian models have emerged as the state-of-the-art approach for disease mapping since they are able to bot
Externí odkaz:
http://arxiv.org/abs/2305.19779
Autor:
Semenova, Elizaveta, Verma, Prakhar, Cairney-Leeming, Max, Solin, Arno, Bhatt, Samir, Flaxman, Seth
Recent advances have shown that GP priors, or their finite realisations, can be encoded using deep generative models such as variational autoencoders (VAEs). These learned generators can serve as drop-in replacements for the original priors during MC
Externí odkaz:
http://arxiv.org/abs/2304.04307
Publikováno v:
Cambridge Prisms: Global Mental Health, Vol 3 (2016)
Background Despite significant research examining mental health in conflict-affected populations we do not yet have a comprehensive epidemiological model of how mental disorders are distributed, or which factors influence the epidemiology in these p
Externí odkaz:
https://doaj.org/article/2721c2a47db34c318a2724a875cf0915
Autor:
Muller, Emily, Gemmell, Emily, Choudhury, Ishmam, Nathvani, Ricky, Metzler, Antje Barbara, Bennett, James, Denton, Emily, Flaxman, Seth, Ezzati, Majid
The interactions of individuals with city neighbourhoods is determined, in part, by the perceived quality of urban environments. Perceived neighbourhood quality is a core component of urban vitality, influencing social cohesion, sense of community, s
Externí odkaz:
http://arxiv.org/abs/2211.12139
Hawkes processes are point process models that have been used to capture self-excitatory behavior in social interactions, neural activity, earthquakes and viral epidemics. They can model the occurrence of the times and locations of events. Here we de
Externí odkaz:
http://arxiv.org/abs/2210.11844