1961–, Computer scientist
Yoav Freund is an Israeli-American computer scientist who, with Robert Schapire, developed AdaBoost in 1995 and the broader theory of boosting that generalises across learning tasks. He has also contributed extensively to online learning theory and to applications in bioinformatics. He is a professor at UC San Diego.
Freund and Schapire shared the 2003 Gödel Prize and the 2004 ACM Paris Kanellakis Prize. AdaBoost-derived methods (gradient boosting, XGBoost, LightGBM, CatBoost) remain among the most practically dominant supervised-learning techniques for structured/tabular data.
Related people: Robert Schapire
Works cited in this book:
- A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997) (with Robert E Schapire)
Discussed in:
- Chapter 7: Supervised Learning, Supervised Learning