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
EPFL
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EPFL IC SIN-GE
INN 112 (Bâtiment INN)
Station 14
CH-1015 Lausanne
Web site: Web site: https://sin.epfl.ch
EPFL IC SSC-GE
INR 130 (Bâtiment INR)
Station 14
CH-1015 Lausanne
Web site: Web site: https://ssc.epfl.ch
Fields of expertise
Biography
Martin Jaggi is a Tenure Track Assistant 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 Programs
Doctoral program in computer and communication sciences
PhD Students
Chayti El Mahdi, Cordonnier Jean-Baptiste Francis Marie Juliette, He Lie, Karimi Mahabadi Rabeeh, Koloskova Anastasiia, Mohtashami Amirkeivan, Pagliardini Matteo, Swamy Vinitra, Vogels Thijs,Past EPFL PhD Students
Drumond Lages De Oliveira Mario Paulo , Gupta Prakhar , Karimireddy Sai Praneeth Reddy , Lin Tao ,Courses
Machine learning
Optimization for machine learning
- Convexity, Gradient Methods, Proximal algorithms, Stochastic and Online Variants of mentioned methods, Coordinate Descent Meth