- 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,
*CMA-ES and Advanced Adaptation Mechanisms*(slides 20MB). - January 2017, Paris, Journée Scientifique ONERA,
*Function-Value-Free Second-Order Stochastic Optimization with CMA-ES*(slides 10MB). - July 2016, Denver, Tutorial at GECCO,
*Introduction to Randomized Continuous Optimization*(slides 22MB). - July 2016, Denver, Tutorial at GECCO,
*CMA-ES and Advanced Adaptation Mechanisms*(slides 24MB). - July 2015, Madrid, Tutorial at GECCO,
*Continuous Optimization and CMA-ES*(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: CMA-ES (slides 22MB)
- lecture: Practice Session: Optimization using CMA-ES in Python (IPython notebook 1MB, cma.py)

- July 2014, Vancouver, Tutorial at GECCO,
*Evolution Strategies and CMA-ES (Covariance Matrix Adaptation)*(slides 1.8MB). - July 2013, Amsterdam, Tutorial at GECCO,
*Evolution Strategies and CMA-ES (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,
*CMA-ES*(slides 1.8MB) - January 2012, LION 6, Tutorial,
*Addressing Numerical Black-Box Optimization: CMA-ES*, (tentative slides 1.8MB) - November 2011, Microsoft Research Cambridge, Lecture,
*CMA-ES – a Stochastic Second-Order Method for Function-Value Free Numerical Optimization*, (slides 6.5MB) - July 2011, Dublin, Tutorial at GECCO,
*CMA-ES*(slides 1.6MB) - May 2011, Toulouse, Atelier Outils et méthodes d'optimisation pour le GNC, Institut Aéronautique et Spatial de CNES,
*The CMA-ES 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 Self-tuning, self-configuring and self-generating 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 Paris-Rocquencourt,
Seminar constraints,
*The difficulties of black-box 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 Research-INRIA 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 (CMA-ES)* - February 2008, Schloss
Dagstuhl - Leibnitz center for informatics,
*Toward a Convergence Proof for CMA-ES—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—Self-Adaptation 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*