Volkan Cevher

EPFL STI IEL LIONS
ELE 233 (Bâtiment ELE)
Station 11
1015 Lausanne

Web site:  Web site:  https://lions.epfl.ch

EPFL > P > P-SG > CCE

Web site:  Web site:  https://cce.epfl.ch/

Web site:  Web site:  https://apel.epfl.ch/

EPFL > P > P-SG > AE

Web site:  Web site:  https://ae.epfl.ch/

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Administrative data

Fields of expertise

Machine Learning 
Optimization 
Reinforcement Learning
Deep learning

Publications

Infoscience publications

Teaching & PhD

Teaching

Electrical and Electronics Engineering

Courses

Mathematics of data: from theory to computation

This course provides an overview of key advances in continuous optimization and statistical analysis for machine learning. We review recent learning formulations and models as well as their guarantees, describe scalable solution techniques and algorithms, and illustrate the trade-offs involved.

Reinforcement learning

This course describes theory and methods for Reinforcement Learning (RL), which revolves around decision making under uncertainty. The course covers classic algorithms in RL as well as recent algorithms under the lens of contemporary optimization.

Online learning in games

This course provides an overview of recent developments in online learning, game theory, and variational inequalities and their point of intersection with a focus on algorithmic development. The primary approach is to lay out the different problem classes and their associated optimal rates.