Tech Talk:Deep Symbolic Optimization: A framework for symbolic optimization
Today’s Talk
We propose a framework to optimize hierarchical, variable-length objects under a black-box performance metric, with the ability to incorporate in situ constraints. The framework uses deep learning via a simple idea: use a large model to search the space of small models. Specifically, we …