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Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces

Impactful applications such as materials discovery, hardware design, neural architecture search, or portfolio optimization require optimizing high-dimensional black-box functions with mixed and combinatorial input spaces. While Bayesian optimization has recently made significant progress in solving such problems, an in-depth analysis reveals that the current state-of-the-art methods are not reliab

How does the regional presence of foreign-owned multinational enterprises affect local start-up performance

This paper analyses how the presence of foreign-owned multinational enterprises (MNEs) affects the performance of start-ups in the same region. Focusing on the population of Swedish start-ups and MNEs between 2007 and 2015, we investigate the relationship between start-up productivity and regional share of MNE employment. We find effects that differ by sectoral belonging of start-ups and MNEs. Not

Undantag från kravet på etikprövning av humanistisk och samhällsvetenskaplig forskning. En internationell utblick

The Swedish ethical review system has recently come under heavy criticism - criticism that has largely centered on the system’s negative impact on research in the humanities and social sciences. Among other things, it has been claimed that the requirement for ethical review is unnecessarily comprehensive. One way of exploring the reasonableness of the Swedish system is to compare it with the rules

A data-driven approach for understanding invalid bug reports: An industrial case study

Context:Bug reports created during software development and maintenance do not always describe deviations from a system’s valid behavior. Such invalid bug reports may consume significant resources and adversely affect the prioritization and resolution of valid bug reports. There is a need to identify preventive actions to reduce the inflow of invalid bug reports. Existing research has shown that m