Volkan Cevher

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

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

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

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

vCard
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.

Training Large Language Models

This PhD-level course dives deep into the training of Large Language Models (LLMs), focusing on the complementary roles of datasets, pre-training and post training methodologies in shaping model performance and scalability.

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 theoretical and experimental results.