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 Kandasamy,
Willie Neiswanger,
Jeff Schneider,
Barnabas Póczos,
Eric Xing.
Accepted at NeurIPS 2018.
Code on github.
[2] Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments
[paper].
Kirthevasan Kandasamy,
Willie Neiswanger,
Reed Zhang.
Akshay Krishnamurthy.
Jeff Schneider,
Barnabas Póczos,
Accepted at ICML 2019.
Code on github.
[3] Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
[paper].
Kirthevasan Kandasamy,
Karun Raju Vysyaraju,
Willie Neiswanger,
Biswajit Paria,
Christopher R. Collins,
Jeff Schneider,
Barnabas Póczos,
Eric Xing.
Code on github.
