AutoOED: Automated Optimal Experimental Design Platform with Data- and Time-Efficient Multi-Objective Optimization

no code implementations • 29 Sep 2021 • Yunsheng Tian, Mina Konakovic Lukovic, Michael Foshey, Timothy Erps, Beichen Li, Wojciech Matusik

We present AutoOED, an Automated Optimal Experimental Design platform powered by machine learning to accelerate discovering solutions with optimal objective trade-offs.

Bayesian Optimization BIG-bench Machine Learning +1

Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations

1 code implementation • NeurIPS 2020 • Mina Konakovic Lukovic, Yunsheng Tian, Wojciech Matusik

To further reduce the evaluation time in the optimization process, testing of several samples in parallel can be deployed.