2 papers
cs.LG2023
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
Sara Venturini, Marianna de Santis, Jordan Patracone +3
In recent years, bilevel approaches have become very popular to efficiently estimate high-dimensional hyperparameters of machine learning models. However, to date, binary parameter…
math.OC2023
Mixed-Integer Quadratic Optimization and Iterative Clustering Techniques for Semi-Supervised Support Vector Machines
Jan Pablo Burgard, Maria Eduarda Pinheiro, Martin Schmidt
Among the most famous algorithms for solving classification problems are support vector machines (SVMs), which find a separating hyperplane for a set of labeled data points. In som…