INTRODUCTION After initial declines, in mid-2020, a sustained resurgence in the transmission
of novel coronavirus disease (COVID-19) occurred in the United States. Throughout the …

We consider structured multi-armed bandit tasks in which the agent is guided by prior
structural knowledge that can be exploited to efficiently select the optimal arm (s) in situations …

Our understanding of most biological systems is in its infancy. Learning their structure and
intricacies is fraught with challenges, and often side-stepped in favour of studying the function …

As modeling becomes a more widespread practice in the life sciences and biomedical
sciences, researchers need reliable tools to calibrate models against ever more complex and …

As of 1st June 2020, the US Centres for Disease Control and Prevention reported 104,232
confirmed or probable COVID-19-related deaths in the US. This was more than twice the …

The 40-fold increase in childhood megakaryocyte-erythroid and B-cell leukemia in Down
syndrome implicates trisomy 21 (T21) in perturbing fetal hematopoiesis. Here, we show that …

Approximate Bayesian computation (ABC) has gained popularity over the past few years for
the analysis of complex models arising in population genetics, epidemiology and system …

Abstract Representations of probability measures in reproducing kernel Hilbert spaces provide
a flexible framework for fully nonparametric hypothesis tests of independence, which can …

We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs),
focussing on so-called optimistic strategies. In MDPs, optimism can be implemented by …

Brain structure in later life reflects both influences of intrinsic aging and those of lifestyle,
environment and disease. We developed a deep neural network model trained on brain MRI …