Abstract Machine learning (ML) has become an essential asset for the life sciences and
medicine. We selected 250 articles describing ML applications from 17 journals sampling 26�…

Bursts of nascent mRNA have been shown to lead to substantial cell-cell variation in
unicellular organisms, facilitating diverse responses to environmental challenges. It is�…

We consider a variant of the stochastic multi-armed bandit problem, where multiple players
simultaneously choose from the same set of arms and may collide, receiving no reward. This�…

Abstract We propose an Online Learning with Local Permutations (OLLP) setting, in which
the learner is allowed to slightly permute the order of the loss functions generated by an�…

Epilepsy is a severe chronic neurological disease affecting 60 million people worldwide.
Primary treatment is with anti-seizure medicines (ASMs), but many patients continue to�…

A commonly used heuristic in RL is experience replay (eg~\citet {lin1993reinforcement,
mnih2015human}), in which a learner stores and re-uses past trajectories as if they were�…

Experience replay\citep {lin1993reinforcement, mnih2015human} is a widely used
technique to achieve efficient use of data and improved performance in RL algorithms. In�…

Interpretability and transparency are essential for incorporating causal effect models from
observational data into policy decision-making. They can provide trust for the model in the�…

Meeting new, more strict limits for formaldehyde emission from wood based composites is
hardly possible without essential changes in technology and processing. Since�…

During probabilistic learning organisms often apply a sub-optimal" probability-matching"
strategy, where selection rates match reward probabilities, rather than engaging in the�…