Workshop / Overview

The goal of this workshop is to bring practitioners and theoreticians together and to stimulate the exchange between experts from industry and academia.

For practitioners, the workshop should give an idea of exciting new developments which they can *use* in their work. For theorists, it should provide a forum to frame the practicality of assumptions and recent work, as well as potentially interesting open questions.

More information about the track schedule:

Workshop / Outcome

The stated goal is to bring practitioners and theory experts together, and to stimulate exchanges from both sides.

Workshop / Difficulty

Intermediate level

Workshop / Prerequisites

The workshop will not discuss high level aspects of ML or data processing, but rather focus on core components that are essential for actual implementations. Hence, the participants should ideally be familiar with the main optimization algorithms used in ML and the main challenges arising in the implementations.

Track / Co-organizers

Sebastian Stich

Research Scientist, EPFL

Aymeric Dieuleveut

Assistant Professor, Ecole Polytechnique Paris

AMLD EPFL 2020 / Workshops

A Conceptual Introduction to Reinforcement Learning

With Kevin Smeyers, Katrien Van Meulder & Bram Vandendriessche

09:00-12:30 January 251ABC

Applied Machine Learning with R

With Dirk Wulff, Markus Steiner & Michael Schulte-Mecklenbeck

09:00-17:00 January 25Foyer 6

Augmenting the Web browsing experience using machine learning

With Oleksandr Paraska, Vasily Kuznetsov, Tudor Avram & Levan Tsinadze

09:00-12:30 January 253A

AMLD / Global partners