Hello,
I'm curioush How many parameters can this bayesian optimization algorithm optimize.
I saw somewhere classical bayesian optimization does not work well with high dimensional problems(like optimizing more than 10, 100 parameters)
Does this algorithm work well with about 32 dimensional problem?
Thx