Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
(ICML) A budget constrained and Bayesian optimization procedure to extract properties out of a black-box algorithm.
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A Tutorial on Bayesian Optimization arxiv.org
2018. [All Versions]. Bayesian optimization is an approach to optimizing objective functions that take a long time (minutes or hours) to evaluate. It is best-suited for optimization over continuous domains of less than 20 dimensions, and tolerates stochastic noise in function…
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Practical Bayesian Optimization of Machine Learning Algorithms proceedings.neurips.cc
NeurIPS'12, 2012. [All Versions]. The use of machine learning algorithms frequently involves careful tuning of learning parameters and model hyperparameters. Unfortunately, this tuning is often a “black art” requiring expert experience, rules of thumb, or sometimes brute-force…
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Probabilistic Models of Computation probmods.org
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Goptuna github.com
Bayesian optimization framework for black-box functions written in Go. Everything will be optimized.
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Tutorial on Bayesian Optimisation for Machine Learning iro.umontreal.ca
Audit Algorithms › Papers > 2021: “(ICML) A budget constrained and Bayesian optimization procedure to extract properties out of a black-box algorithm.”