Advances in ML: Theory meets practice

13:30-17:00, January 26

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.

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

AMLD EPFL 2020 / Workshops

A Conceptual Introduction to Reinforcement Learning

With Bram Vandendriessche, Kevin Smeyers & Katrien Van Meulder

09:00-12:30 January 25

Applied Machine Learning with R

With Dirk Wulff

09:00-17:00 January 25

Augmenting the Web browsing experience using machine learning

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

09:00-12:30 January 25

AMLD / Global partners