Martin Jaggi

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Tenure Track Assistant Professor

martin.jaggi@epfl.ch +41 21 69 37059 http://mlo.epfl.ch

Group Webpage:
mlo.epfl.ch

EPFL IC IINFCOM MLO
INJ 341 (Bâtiment INJ)
Station 14
CH-1015 Lausanne

EPFL IC IC-SIN SIN-ENS

EPFL IC IC-SSC SSC-ENS

Administrative data

Fields of expertise

Machine Learning, Optimization

Teaching & PhD

Teaching

  • Computer Science,
  • Communication Systems

PhD Programs

  • Doctoral program in computer and communication sciences

Courses

EECS Seminar: Advanced Topics in Machine Learning

Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theore... goto

Doctoral Program in Electrical Engineering, 2018-2019, language : english
Doctoral program in computer and communication sciences, 2018-2019, language : english

Machine learning

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Doctoral Program in Electrical Engineering, 2018-2019, language : english
Doctoral program in computer and communication sciences, 2018-2019, language : english
Financial Engineering Section, 2018-2019, Master semester 1, language : english
Financial Engineering Section, 2018-2019, Master semester 3, language : english
MINEUR, 2018-2019, Autumn semester, language : english
Management of Technology and Entrepreneurship, 2018-2019, Master semester 1, language : english
Management of Technology and Entrepreneurship, 2018-2019, Master semester 3, language : english
Section of Communication Systems, 2018-2019, Master semester 1, language : english
Section of Communication Systems, 2018-2019, Master semester 3, language : english
Section of Computer Science, 2018-2019, Master semester 1, language : english
Section of Computer Science, 2018-2019, Master semester 3, language : english
Section of Digital Humanities, 2018-2019, Master semester 1, language : english
Section of Digital Humanities, 2018-2019, Master semester 3, language : english
Section of Electrical and Electronical Engineering, 2018-2019, Master semester 1, language : english
Section of Electrical and Electronical Engineering, 2018-2019, Master semester 3, language : english
Section of Life Sciences Engineering, 2018-2019, Master semester 1, language : english
Section of Life Sciences Engineering, 2018-2019, Master semester 3, language : english
Section of Mathematics, 2018-2019, Master semester 1, language : english
Section of Mathematics, 2018-2019, Master semester 3, language : english

Optimization for machine learning

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Doctoral Program in Electrical Engineering, 2018-2019, language : english
MINEUR, 2018-2019, Spring semester, language : english
Section of Communication Systems, 2018-2019, Master semester 2, language : english
Section of Communication Systems, 2018-2019, Master semester 4, language : english
Section of Computer Science, 2018-2019, Master semester 2, language : english
Section of Mathematics, 2018-2019, Master semester 2, language : english
Section of Mathematics, 2018-2019, Master semester 4, language : english

Topics in Machine Learning Systems

This course will cover the latest technologies, platforms and research contributions in the area of machine learning systems. The students will read, review and present papers from recent venues across the systems for ua ML spectrum. goto

Doctoral program in computer and communication sciences, 2018-2019, language : english