2026 Gauss Prize winner Yurii Nesterov developed the Fast Gradient Method @SimonsFoundation
2026 Gauss Prize winner Yurii Nesterov developed the Fast Gradient Method @SimonsFoundation
Uploaded August 2026 | Updated September 2026, 2 weeks ago
2026 Gauss Prize winner Yurii Nesterov laid down the foundation of modern optimization techniques, now ubiquitously used for machine learning, AI, and signal processing, among other applications.

Watch the full video about his work on our channel.
2026 Gauss Prize winner Yurii Nesterov developed the Fast Gradient MethodLouis Nirenberg - The Weierstrass-Malgrange Preparation TheoremLior Pachter: The Systems Biology of a Single Cell (April 3, 2026)Vanessa Ruta - Themes and Variations in Social Brain Circuits (April 10, 2024)Peter Lax - NYU Computer Center Takeover in 1970Stefano Martiniani, Assistant Professor of Physics, Chemistry, and Mathematics, New York UniversityDavid Amaral Imaging early brain development in autism February 26, 2014Sachi Hashimoto: Rational Points on Modular CurvesICM 2026 Public Lecture - Manjul BhargavaOdran Sourdeval: Assessing Cirrus Cloud Thinning Strategies by Learning From...(April 9, 2026)ICM 2026 Panel - AI for MathematicsNathan Seiberg: What Is Quantum Field Theory? (April 30, 2026)
Simons Foundation |

2026 Gauss Prize winner Yurii Nesterov developed the Fast Gradient Method

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER