Automatic Machine Learning: Learning How to Learn
Iddo Drori, CDS Adjunct Associate Professor, Kyunghyun Cho, Assistant Professor of Computer Science and Data Science, Claudio Silvaand Juliana Freire, Professors of Data Science, Computer Science, and Engineering, Remi Rampin, CDS Research Engineer, and Yamuna Krishnamurthy, Raoni de Paula Lourenco, Jorge Piazentin, NYU Tandon School of Engineering, contributed to the recent paper, AlphaD3M: Machine Learning Pipeline Synthesis. The paper introduces AlphaD3M, an automatic machine learning (AutoML) system whose objective is to learn how to learn via self-play. The “D3M” in AlphaD3M’s name comes from DARPA’s Data Driven Discovery of Models (D3M) program, which has propelled machine learning toward solving any user-specified task, given any dataset.
