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Hyperparameter Optimization for Portfolio Selection

Portfolio optimization involves a tradeoff between maximizing expected returnand minimizing risk. In practice, useful formulations also include various costs and constraints that regularize the problem and reduce the risk due to estimation errors, resulting in solutions that depend on a number of hyperparameters. As the number of hyperparameters grows, selecting their value becomes increasingly imPortfolio selection involves a trade-off between maximizing expected return and minimizing risk. In practice, useful formulations also include various costs and constraints that regularize the problem and reduce the risk due to estimation errors, resulting in solutions that depend on a number of hyperparameters. As the number of hyperparameters grows, selecting their value becomes increasingly imp

LAMiNATE (Language Acquisition, Multilingualism, and Teaching)

LAMiNATE (Language Acquisition, Multilingualism, and Teaching) är en tvärdisciplinär och fakultetsöverskridande forskningsplattform som sammanför forskning och forskare vid LU med inriktning på (multimodal) språkinlärning, flerspråkighet, språkundervisning och språktestning och bedömning. LAMiNATE syftar till att stärka, möjliggöra och initiera samarbeten; utveckla nya, innovativa forskningsinriktLAMiNATE (Language Acquisition, Multilingualism, and Teaching) is a cross-disciplinary and interdepartmental research platform that brings together researchers at Lund University working on all areas of (multimodal) language acquisition, multilingualism, and language teaching/assessment. LAMiNATE aims to strengthen, facilitate, and initiate collaborations; to develop new innovative research strand