Organized Workshops and summer schools

  • Gaussian Process Summer School, Sheffield, UK, 3-6 September 2018 (with Mauricio Alvarez Neil Lawrence, Rich Wilkinson, Jeremy Oakley and MLSitran).
  • NIPS workshop in Bayesian optimization, Long beach, California, US, 10 December 2017 (with Jose Miguel Hernandez Lobato and Ruben Martinez Cantin).
  • Gaussian Process Summer School, Sheffield, UK, 12-14 September 2017 (with Mauricio Alvarez Neil Lawrence, Rich Wilkinson, Jeremy Oakley and MLSitran).
  • Gaussian Process and Bayesian optimization Masterclass, Lancaster, UK, 6-7 February 2016 (with Neil Lawrence).
  • NIPS workshop in Bayesian optimization, Barcelona, Spain, 10 December 2016 (with Roberto Calandra, Frank Hutter, Bobak Shahriari and Ryan Adams).
  • Gaussian Process Summer School, Sheffield, UK, 12-14 September 2016 (with Neil Lawrence, Rich Wilkinson, Jeremy Oakley and MLSitran).
  • Workshop on Uncertainty Quantification, Sheffield, UK, 5 September 2017 (with Neil Lawrence, Rich Wilkinson, Jeremy Oakley and MLSitran).
  • Course in Bayesian Optimization, Pereira, Colombia, 27-130 October 2015 (with Mauricio Alvarez).
  • Gaussian Process Summer School, Sheffield, UK, 14-16 September 2015 (with Neil Lawrence and MLSitran).
  • Workshop on Gaussian Processes for Global Optimization, Sheffield, UK, 17 September 2015 (with Neil Lawrence and MLSitran).
  • Course in Bayesian Optimization

    Course in Bayesian Optimization delivered on October 27-30 at the University of Pereira Colombia (invited by Mauricio Alvarez). The material of the course is a mix of the slides and labs written by Neil Lawrence and the the Machine Learning group (first day) plus my point of view on different topics in Bayesian Optimization (days 2 and 3).

    --- Lectures ---

    Lecture 1: Uncertainty and Gaussian Processes

    Lecture 2: Bayesian Optimization

    Lecture 3: Advanced topics in Bayesian Optimization

    --- Labs ----

    Lab 1: Introduction to GPy [Jupyter Notebook].

    Lab 2: Introduction to GPyOpt [Jupyter Notebook].

    Lab 3: Advanced GPyOpt [Jupyter Notebook].