Isabelle M. Guyon

Overview

Isabelle M. Guyon is a machine-learning researcher (Université Paris-Saclay; ChaLearn; Google), known for support vector machines, feature selection, and for organizing influential ML challenges and the AutoML/benchmarking effort.

Key Contributions / Features

• Support vector machines (Boser-Guyon-Vapnik 1992): coauthor of the original maximum-margin classifier (Support Vector Machine).
• Cluster stability (Ben-Hur et al. 2002): coauthor of the resampling-stability method for validating clusterings (Cluster Stability).
• Foundational work on feature selection and on the design of machine-learning competitions and benchmarks.

Related

• Support Vector Machine
• Cluster Stability
• Boser-Guyon-Vapnik (1992) A Training Algorithm for Optimal Margin Classifiers
• Ben-Hur et al. (2002) A Stability Based Method for Discovering Structure in Clustered Data
• Vladimir N. Vapnik
• Asa Ben-Hur