Date and Place: Thursdays and hybrid (live in 32-349/online via Zoom). For detailed dates see below!
In the Scientific Computing Seminar we host talks of guests and members of the SciComp team as well as students of mathematics, computer science and engineering. Everbody interested in the topics is welcome.
List of Talks
SC Seminar: Tahmineh Zakizadeh Fallahabadi
Tahmineh Zakizadeh Fallahabadi, Aon Solution Germany GmbH, Wiesbaden
Hyperparameter Optimization for Machine Learning Models using Bayesian Optimization
Hyperparameters are important for machine learning algorithms since they directly control the behaviours of training algorithms and have a significant effect on the performance of machine learning models. Bayesian optimization is an optimization framework for the global optimization of expensive Blackbox functions, which recently gained traction in Hyperparameter optimization for machine learning algorithms. In this talk, Bayesian optimization as a method to optimize hyperparameter in Machine Learning models is reviewed. First, we will consider the traditional Bayesian optimization method, then we will consider new suggested methods, which are based on Bayesian Optimization and supposed to be more efficient than the traditional Bayesian optimization method.
How to join online
The talk is held online via Zoom. You can join with the following link: