Martin Jaggi

EPFL IC IINFCOM MLO
INJ 341 (Bâtiment INJ)
Station 14
CH-1015 Lausanne
+41 21 693 70 59
+41 21 693 52 26
Office:
INJ 341
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Fields of expertise
Biography
Martin Jaggi is an Associate Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.Teaching & PhD
Teaching
Computer Science
Communication Systems
PhD Students
Chayti El Mahdi, He Lie, Koloskova Anastasiia, Kosson Atli, Mohtashami Amirkeivan, Pagliardini Matteo, Swamy Vinitra,Past EPFL PhD Students
Cordonnier Jean-Baptiste Francis Marie Juliette , Drumond Lages De Oliveira Mario Paulo , Gupta Prakhar , Karimireddy Sai Praneeth Reddy , Lin Tao , Vogels Thijs ,Courses
Machine learning
Optimization for machine learning
- Convexity, Gradient Methods, Proximal algorithms, Stochastic and Online Variants of mentioned methods, Coordinate Descent Meth