Falsification of Cyber-Physical Systems using Bayesian Optimization

no code implementations • 14 Sep 2022 • Zahra Ramezani, Kenan Šehić, Luigi Nardi, Knut Åkesson

For some of the benchmark problems, the choice of acquisition function clearly affects the number of simulations needed for successful falsification.

Bayesian Optimization

Vision for Bosnia and Herzegovina in Artificial Intelligence Age: Global Trends, Potential Opportunities, Selected Use-cases and Realistic Goals

no code implementations • 8 Sep 2022 • Zlatan Ajanović, Emina Aličković, Aida Branković, Sead Delalić, Eldar Kurtić, Salem Malikić, Adnan Mehonić, Hamza Merzić, Kenan Šehić, Bahrudin Trbalić

Artificial Intelligence (AI) is one of the most promising technologies of the 21. century, with an already noticeable impact on society and the economy.

LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso

1 code implementation • 4 Nov 2021 • Kenan Šehić, Alexandre Gramfort, Joseph Salmon, Luigi Nardi

While Weighted Lasso sparse regression has appealing statistical guarantees that would entail a major real-world impact in finance, genomics, and brain imaging applications, it is typically scarcely adopted due to its complex high-dimensional space composed by thousands of hyperparameters.

Bayesian Optimization Hyperparameter Optimization +2