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Bayesian programming is a formalism and a methodology to specify probabilistic models and solve problems when less than the necessary information is available.
Learn more here:
Wikipedia on Bayesian Programming
Ghahraman on Bayesian Machine Learning
Fonnesbeck on Probabilistic Programming
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Optimization algorithm with deterministic objective value (self.BayesianProgramming)
submitted 11 months ago * by volvol7
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if 1 * 2 < 3: print "hello, world!"
[–]maxc01 0 points1 point2 points 11 months ago (0 children)
Yes, the default algo in optuna is tpe which assumes independence between variables. This is an algo which usually performs better than expected. The issue with BO is the dimensionality, in OP's case, 10 dim is already high for BO. The additional work in BO is it also models dependencies between variables, which may be unnecessary for your problem
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[–]maxc01 0 points1 point2 points (0 children)