Amortized Bayesian Optimization
Code related to Amortized Bayesian Optimization over Discrete Spaces.
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- 2026-10-10
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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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Bayesian Optimization github.com
A Python implementation of global optimization with gaussian processes.
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Evolving Neural Networks in JAX by Robert Tjarko Lange roberttlange.github.io
Explores how JAX can power the next generation of scalable neuroevolution algorithms.
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BNN-HMC github.com
Implementation for the paper What Are Bayesian Neural Network Posteriors Really Like?.
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