André Biedenkapp

PhD Student

Postal address:: Institut für Informatik
Albert-Ludwigs-Universität Freiburg
Sekretariat Hutter/Maschinelles Lernen
Georges-Köhler-Allee 074
79110 Freiburg, Germany
Room:: Building 074, Room 00-012
Coordinates:: 48.014278, 7.831361 (DD)
Email:: biedenka@cs.uni-freiburg.de
Phone:: +49 761 203-54074
Fax:: +49 761 203-74217
Github:: AndreBiedenkapp
Twitter:: AndreBiedenkapp

About

Since October 2017 I am a PhD student at the Machine Learning Group under the supervision of Frank Hutter and Marius Lindauer. Before that I completed my master and bachelor degrees in computer science at the University of Freiburg.

Research Interests

I am interested in all facets of artificial intelligence. My research focuses on new ways to control the behavior of algorithms online. More precisely my research areas include:

Dynamic Algorithm Configuration
Learning to Learn
(Deep) Reinforcement Learning
Bayesian Optimization
Automated Hyperparameter Optimization

Publications

Code

Leading:

DAC: Dynamic algorithm configuration via reinforcement learning and accompanying white-box benchmarks.
PyImp: A python package to determine parameter importance based on configuration data.
CAVE: CAVE aims to help algorithm and configurator developers to better understand their experimental setup in an automated fashion. An example of a CAVE result can be found here. The video presentation for the corresponding CAVE paper as shown at LION'18 can be viewed here.

Involved:

SMAC v3: Python implementation of SMAC (Algorithm Configurator) for automatic tuning of parameter configurations on any kind of algorithms.

Teaching

2020: Teaching Assistant: Automated Machine Learning
2019: Teaching Assistant: Automated Machine Learning
2018: Teaching Assistant: Machine Learning for Automated Algorithm Design
2017: Teaching Assistant: Machine Learning for Automated Algorithm Design

Misc

Erdös number: 4 (Holger H. Hoos -> Therese C. Biedl -> Jeffrey O. Shallit -> Paul Erdös)

My 3 word address: paid.laptops.brothers