A research paper by Associate Professor SCHWARTZMAN, Gregory of the Computing Science Research Area has been accepted to the International Conference on Machine Learning (ICML 2026), one of the premier international conferences in the field of machine learning.

The accepted paper, "Fully Dynamic Coreset Spectral Clustering," proposes a new method for efficient clustering of continuously evolving graph data.

ICML is widely recognized as one of the most prestigious international conferences in machine learning and artificial intelligence, attracting research contributions from around the world. The paper will be presented as a poster at ICML 2026, which will be held in Seoul, South Korea, in July 2026.

Publication Information
Title: Fully Dynamic Coreset Spectral Clustering
Authors: Ben Jourdan, Peter Macgregor, Gregory Schwartzman
Conference: International Conference on Machine Learning (ICML 2026)
URL：https://icml.cc/virtual/2026/poster/63345

Related Link
International Conference on Machine Learning（ICML 2026）
https://icml.cc/

June 22, 2026