Data-Driven Discovery of Models
The Data-Driven Discovery of Models (D3M) program aims to develop automated model discovery systems that enable users with subject matter expertise but no data science background to create empirical models of real, complex processes. At the NYU VIDA Center we address two important challenges in automating machine learning: i) pipeline synthesis and model understanding, and ii) dataset search and discovery.

H. Zhang, R. Lopez, A. Santos, J. P. Ono, A. Bessa, J. Freire. DEEM’23: Workshop on Data Management for End-to-End Machine Learning, co-located with SIGMOD 2023 (2023)

L. Silva, L. Barbosa, S. Castelo, H. Zhang, A. Santos, J. Freire. NTCIR Conference on Evaluation of Information Access Technologies (2022)

A. Santos, A. Bessa, C. Musco, J. Freire. Conference on Data Engineering (2022)