UP
Seminars, Tutorials, Invited Talks and Lectures

November 2023, Keynote at the IJCCI International Joint Conference on Computational Intelligence 2023,
Assessment and Evaluation of Empirical and Scientific Data
(slides 6MB).

July 2023, Tutorial at GECCO,
An Introduction to Scientific Experimentation and Benchmarking
(slides 17MB).

July 2023, Tutorial at GECCO,
CMAES and Advanced Adaptation Mechanisms
(slides 13MB).

July 2022, Tutorial at GECCO,
A (Biased) Introduction to Benchmarking
(slides 17MB).
 Mai 2022,
Dagstuhl Seminar
EstimationofDistribution Algorithms: Theory and Applications, A Gentle Introduction to InformationGeometric Optimization (slides 5.6MB).

July 2021, Tutorial at GECCO,
Benchmarking: stateoftheart and beyond
(slides 12MB).

July 2021, Tutorial at GECCO,
CMAES and Advanced Adaptation Mechanisms
(slides 6MB).
 November 2020, Leiden,
Benchmarked: Optimization meets Machine Learning (2020 Lorentz Center Workshop),
Ten+ Years of Benchmarking with COCO/BBOB
(slides 3.7MB).
 October 2019, Paris,
Journée de Rentrée du CMAP, Ecole polytechnique,
How to Evolve Gradient Descent into Evolution Strategies and CMAES
(slides 3MB).
 September 2019, Delft,
Symposium on Evolutionary Algorithms:
Back to the Future and Beyond—Traversing the EverEvolving Landscape of Evolutionary Algorithms,
How to Evolve Gradient Descent into Evolution Strategies and CMAES
(slides 1.4MB).
 July 2019, Prague, Tutorial at GECCO,
CMAES and Advanced Adaptation Mechanisms
(slides 19MB).
 July 2019, Prague, Tutorial at GECCO,
A Practical Guide to Experimentation (and Benchmarking)
(slides 11MB, code at Github).
 June 2019, Nice, Keynote lecture at the
Workshop on MachineLearningAssisted Image Formation:
From GradientBased to Evolutionary Optimization
(slides 8MB).
 July 2018, Kyoto, Tutorial at GECCO,
CMAES and Advanced Adaptation Mechanisms
(slides 19MB).
 July 2018, Kyoto, Tutorial at GECCO,
A Practical Guide to Experimentation (and Benchmarking)
(slides 10MB, code at Github).
 July 2017, Berlin, July 2017, Berlin, Tutorial at GECCO,
A Practical Guide to Benchmarking and Experimentation
(slides <1MB, code 2MB).
 July 2017, Berlin, Tutorial at GECCO,
Introduction to Randomized Continuous Optimization
(slides 11MB).
 July 2017, Berlin, Tutorial at GECCO,
CMAES and Advanced Adaptation Mechanisms
(slides 20MB).
 January 2017, Paris, Journée Scientifique ONERA,
FunctionValueFree SecondOrder Stochastic Optimization with CMAES
(slides 10MB).
 July 2016, Denver, Tutorial at GECCO,
Introduction to Randomized Continuous Optimization
(slides 22MB).
 July 2016, Denver, Tutorial at GECCO,
CMAES and Advanced Adaptation Mechanisms
(slides 24MB).
 July 2015, Madrid, Tutorial at GECCO,
Continuous Optimization and CMAES
(slides 19MB).
 July 2015, Madrid, Tutorial at GECCO,
Theory of Evolution Strategies and Related Algorithms
(slides 19MB).
 September 2014, Copenhagen, summer school on Information Geometry in Learning and Optimization, Introduction to Information Geometry: Stochastic Optimization.
 lecture: Introduction to Optimization in Continuous Search Spaces
(slides 3.5MB)
 lecture: Information Geometric Optimization
(slides 3.5MB)
 lecture: Practice Session: Introduction to Python (text file)
 lecture: CMAES
(slides 22MB)
 lecture: Practice Session: Optimization using CMAES in Python (IPython notebook 1MB, cma.py)
 July 2014, Vancouver, Tutorial at GECCO,
Evolution Strategies and CMAES (Covariance Matrix Adaptation)
(slides 1.8MB).
 July 2013, Amsterdam, Tutorial at GECCO,
Evolution Strategies and CMAES (Covariance Matrix Adaptation)
(slides 1.8MB).
 June 2013, Quiberon, Artificial Evolution Summer School, Performance Evaluation of Anytime Blackbox Optimizers (slides 8MB).
 July 2012, Philadelphia, Tutorial at GECCO,
CMAES (slides 1.8MB)
 January 2012, LION 6, Tutorial, Addressing Numerical BlackBox Optimization: CMAES, (tentative slides 1.8MB)
 November 2011, Microsoft Research Cambridge, Lecture, CMAES – a Stochastic SecondOrder Method for FunctionValue Free Numerical Optimization, (slides 6.5MB)
 July 2011, Dublin, Tutorial at GECCO,
CMAES (slides 1.6MB)
 May 2011, Toulouse, Atelier Outils et méthodes d'optimisation pour le GNC, Institut Aéronautique et Spatial de CNES, The CMAES and its Application to Space Flight Trajectory Optimization together with Dietmar Wolz (slides, first part 5.3MB)
 April 2011, Berlin, International Industrial Convention on Biomimetics, invited talk, Modern Evolution Strategies: Theory and Application
 September 2010, Krakow, Workshop on Selftuning, selfconfiguring and selfgenerating search heuristics (Self* 2010) at PPSN XI, invited talk,
Algorithm Design in Evolutionary Computation: Parameter Identification and Control (slides)
 July 2010, Portland, Tutorial at GECCO,
Evolution Strategies and Covariance Matrix Adaptation (slides 1.5MB)
 November 2009, INRIA ParisRocquencourt,
Seminar constraints,
The difficulties of blackbox optimization and a stochastic variable metric approach (slides, 2.5MB)
 October 2009, Birmingham, tutorial at the workshop for
Theory of Randomized Search Heuristics (TRSH), tutorial
Theory of randomized search heuristics for continuous
optimization
 July 2009, Montreal, Tutorial at GECCO,
Evolution Strategies and Covariance Matrix Adaptation (slides 1.1MB)
 April 2009, Université Paris 6, Challenges for stochastic optimization and a variable metric approach (slides 1.7MB)
 September 2008, Dortmund, Tutorial at PPSN,
Evolution Strategies and Related Estimation of Distribution Algorithms (slides 1.3MB)
 July 2008, Atlanta, Tutorial at GECCO,
Evolution Strategies and Related Estimation of Distribution Algorithms (slides 1.3MB)
 May 2008, Microsoft ResearchINRIA Joint Centre, First
Search and Biology Day, Dynamic Problem Encoding for Optimization
(slides 1.3MB)
 April 2008, Lorentz
Center Leiden, Tutorial—Covariance Matrix Adaptation
Evolution Strategy (CMAES)
 February 2008, Schloss
Dagstuhl  Leibnitz center for informatics, Toward a Convergence Proof for CMAES—and Beyond
(slides 1.2MB)
 July 2007, University Kiel, Institute of CS,
Stochastic Optimization in Continuous Domain:
Challenges and Approaches (slides 2.5MB)
 September 2006, Reykjavik, Tutorial at PPSN,
The Covariance Matrix Adaptation (CMA) Evolution
Strategy (slides 1.7MB)
 February 2006, Schloss Dagstuhl  Leibnitz center for informatics,
Step Length on Linear Fitness Functions—SelfAdaptation and Beyond
(slides 0.6MB)
 December 2005, University Dortmund FB Statistik,
Evolutionary Optimization and the CMA Evolution Strategy
 February 2004, Schloss Dagstuhl  Leibnitz center for informatics,
The Covariance Matrix Adaptation (CMA)—Yet Another
Estimation of Distribution Algorithm (EDA)?
 February 2000, Schloss Dagstuhl  Leibnitz center for informatics,
Keypoints in Strategy Parameter Control