Workshop / Overview
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: https://theorymeetspractice.github.io/
Workshop / Outcome
The stated goal is to bring practitioners and theory experts together, and to stimulate exchanges from both sides.
Workshop / Difficulty
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
A Conceptual Introduction to Reinforcement Learning
With Kevin Smeyers, Katrien Van Meulder & Bram Vandendriessche09:00-12:30 January 251ABC
Applied Machine Learning with R
With Dirk Wulff, Markus Steiner & Michael Schulte-Mecklenbeck09:00-17:00 January 25Foyer 6