Unit

Chair of Dynamics of Learning Algorithms

Laboratory

Summary

The Dynamics of Learning Algorithms (DOLA) Chair at EPFL focuses on understanding the mechanisms behind key algorithms in machine learning and signal processing. They investigate what algorithms learn, how they learn, when they succeed or fail, and how to enhance them. Research areas include optimization, statistical and functional approximation, with a current emphasis on gradient methods for neural networks, sparse deconvolution, and divergences between probability measures.

Official source

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Chair of Dynamics of Learning Algorithms

Chat with Graph Search

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Random matrix methods for high-dimensional machine learning models