Abstract: Preferential Bayesian optimization (PBO) is a framework for human-in-the-loop optimization to maximize black-box human preference functions such as seeking perceptually good visual designs.
Sustainable success depends less on geography and more on how talent is onboarded, managed and empowered to contribute ...
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
Abstract: A new approach for macroeconomic forecasting is proposed in this study that combines Bayesian Gaussian Processes (BGP) with world economic indicators. For probability-based forecasting, the ...
This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.
We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...
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 ...
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