Bayesian Optimization and DOE

Read the NASBOT paper.

Read the MPS paper.

Read the Dragonfly paper.

Bayesian Optimization (BO) and Bayesian Goal-Oriented Design of Experiments (DOE).

Read the Papers

[1] Neural Architecture Search with Bayesian Optimisation and Optimal Transport [paper]. 
Kirthevasan KandasamyWillie NeiswangerJeff SchneiderBarnabas PóczosEric Xing
Accepted at NeurIPS 2018. Code on github.

[2] Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments [paper]. 
Kirthevasan KandasamyWillie NeiswangerReed ZhangAkshay KrishnamurthyJeff SchneiderBarnabas Póczos
Accepted at ICML 2019. Code on github.

[3] Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly [paper]. 
Kirthevasan KandasamyKarun Raju VysyarajuWillie NeiswangerBiswajit PariaChristopher R. CollinsJeff SchneiderBarnabas PóczosEric Xing
Code on github.