Abstract: Safe Bayesian optimization (BO) with Gaussian processes is an effective tool for tuning control policies in safety-critical real-world systems, specifically due to its sample efficiency and ...
Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...
Mobile health (mHealth) programs face a critical challenge in optimizing the timing of automated health information calls to beneficiaries. This challenge has been formulated as a collaborative ...
An official report into last year’s yacht tragedy, which killed seven, found that the boat could easily capsize in high winds. Its towering mast made it more vulnerable. By Jeffrey Gettleman and James ...
We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...
The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
Evaluating the impact of program activities on outcomes occasionally involves complex data structures – such as units nested within clusters, and observed longitudinally – and the corresponding ...
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Four of the seven victims killed in the Bayesian superyacht wreck were trapped alive inside the ship’s cabins as the vessel went down off the coast of Sicily last month, according to their autopsies.
Jamie Pringle receives funding from the HLF, the Nuffield Foundation, Royal Society, NERC, EPSRC and EU Horizon2020. He is affiliated with the Geological Society of London. Jamie works for Keele ...
The body of the vessel’s cook was recovered while divers searched the hull of the Bayesian for passengers, including the tech entrepreneur Mike Lynch. By Elisabetta Povoledo Deep-sea divers with Italy ...