Tutorials and Invited Talks

Also see our YouTube channel!

Invited Talk at ODSC Europe: Evolution of Efficient and Robust AutoML Systems

by Frank Hutter

Invited Talk at ELLIS AutoML Seminar: Towards Explainable AutoML: xAutoML

by Marius Lindauer

Invited Talk at ELLIS AutoML Seminar: Neural Ensemble Search for Uncertainty Estimation and Dataset Shift

by Arber Zela

Invited Talk at the PUNCHLunch NFDI: AutoML 101

by Marius Lindauer

Talk at the Applied AI Summit 2021: AutoML — AI that builds AI

by Frank Hutter

Podcast Interview about AutoML at “TechTiefen” (German)

by Marius Lindauer

Talk at NeurIPS 2020 Competition Blackbox Optimization for Machine Learning: Squirrel: a Switching Hyperparameter Optimizer

by Frank Hutter

Invited Talk at NeurIPS 2020 Workshop on MetaLearning: Meta-Learning Neural Architectures, Initial Weights, Hyperparameters, and Algorithm Components

by Frank Hutter

Invited Talk at Lorentz Center Workshop 2020: Algorithm configuration, selection + friends: from static to dynamic algorithm configuration

by Frank Hutter

Invited Talk at ICAPS 2020: Getting the most out of your planner(s): from static to dynamic algorithm configuration

by Frank Hutter

Invited Talk in MSR Speaker Series on Directions in ML: Neural Architecture Search: Coming Of Age

by Frank Hutter

Invited Talk at PPSN workshop on Understanding Machine Learning and Optimization Problems (UMLOP): Towards Understanding Automated Deep Learning

by Marius Lindauer

Invited Talk in AutoML seminar: Neural Architecture Search: Coming of Age

by Frank Hutter

Keynote at KDD 2020 workshop on AutoML: Towards Robust & Efficient AutoML

by Frank Hutter

L3S Invited Talk: Evolution of AutoML: From Static to Dynamic

by Marius Lindauer

PPSN’20/IJCAI’20 Tutorial: Algorithm Configuration: Challenges, Methods and Perspectives

by André Biendenkapp and Marius Lindauer

ECML’19 Summer School: Lectures + Hands-on about AutoML

by Matthias Feurer and Frank Hutter

Tutorial on Automated Machine Learning at GCPR’19

by Matthias Feurer and Thomas Elsken

Tutorial on Meta-Learning at CVPR’19

by N. Naik, N. Keskar, C. Finn, F. Hutter, R. Socher, R. Raskar

Algorithm configuration: learning in the space of algorithm designs at ICML’19

by Kevin Leyton-Brown and Frank Hutter

Algorithm selection key-note talk and hands-on AutoML at AMIR’19

by Marius Lindauer

AutoML tutorial at NeurIPS 2018

by Frank Hutter and Joaquin Vanschoren

AutoML tutorial at ODSC 2018 in London

by Marius Lindauer

AutoML tutorial at ECML 2017

by Joaquin Vanschoren, Pavel Brazdil, Holger Hoos and Frank Hutter

Towards true end-to-end learning & optimization, Invited Talk at ECML-PKDD’17

by Frank Hutter

Automatic SAT Solver configuration with SMAC, Tutorial at SAT Industrial Day 2016

by Marius Lindauer

Algorithm Configuration: How to boost the performance of your SAT solver? Tutorial at SAT Summer School 2016

by Marius Lindauer

Machine Learning and Optimization for Algorithm Design, Winter Term’15

by Marius Lindauer, Mustafa Misir and Frank Hutter

Algorithm Configuration — A Hands on Tutorial, Tutorial at AAAI’16

by Frank Hutter and Marius Lindauer

In this hands-on tutorial, we will demonstrate how to effectively use algorithm con guration in practice. Attendees do not require any specialized knowledge and will walk away with hands-on experience in con figuring various algorithms that will allow them to apply algorithm con guration in their respective fields of research.

Programming by Optimization: A Practical Paradigm for Computer-Aided Algorithm Design, Tutorial at AAAI’14

by Holger Hoos, Frank Hutter and Kevin Leyton-Brown

Programming by Optimization: A Practical Paradigm for Computer-Aided Algorithm Design, Tutorital at IJCA’13

by Holger Hoos, Frank Hutter and Kevin Leyton-Brown

Algorithm Selection and Configuration, Tutorial at AAAI’13

by Frank Hutter, Lars Kotthoff, Yuri Malitsky, Barry O’Sullivan, and Lin Xu