Slides: New Directions for Learning with Kernels and Gaussian Processes, Dagstuhl Seminar

 

Arthur Gretton, Philipp Hennig, Carl Edward Rasmussen, Bernhard Schölkopf organized the Dagstuhl seminar on New Directions for Learning with Kernels and Gaussian Processes

Here are the slides of the presentation availabl on this site:

 

• Marc Deisenroth, Imperial College London, GB Practical Challenges of Gaussian Process Applications Abstract | Slides.pdf
• David Duvenaud, Toronto, CA Deep kernels and deep Gaussian processes Abstract | Slides.pdf
• Philipp Hennig, MPI für Intelligente Systeme - Tübingen, DE, GPs and Kernels for Computation -- new opportunities in probabilistic numerics, Abstract | Slides.pdf
• Joseé Miguel Hernández-Lobato, Harvard University - Cambridge, US, Approximate EP for Deep Gaussian Processes, Abstract | Slides.pdf
• Julien Mairal, INRIA - Grenoble, FR, Kernel Learning with Convolutional Kernel Networks, Abstract | Slides.pdf
• Krikamol Muandet, Mahidol University, TH, Untitled, Slides.pdf
• Sebastian Nowozin, Microsoft Research UK - Cambridge, GB, MMD/VAE/f-GAN: Methods for Estimating Probabilistic Models, Abstract | Slides.pdf
• Stephen Roberts, University of Oxford, GB, Various things..., Abstract | Slides.pdf 
• Dino Sejdinovic, University of Oxford, GB, Kernel Embeddings and Gaussian Processes Abstract | Slides.pdf
• Carl-Johann Simon-Gabriel, MPI für Intelligente Systeme - Tübingen, DE Kernel Mean Embeddings, Abstract | Slides.pdf
• Ingo Steinwart, Universität Stuttgart, DE, Learning with Hierarchical Kernels, Abstract | Slides.pdf | Preprint.pdf
• Zoltán Szabó, Ecole Polytechnique - Palaiseau, FR, Distribution Regression, Abstract | Slides.pdf | Preprint.pdf
• Simo Särkkä, Aalto University, FI, Stochastic (Partial) Differential Equations and Gaussian Processes, Slides.pdf
• Ilya Tolstikhin, MPI für Intelligente Systeme - Tübingen, DE, Consistent Kernel Mean Estimation for Functions of Random Variables, Abstract | Slides.pdf
• Richard Wilkinson, University of Sheffield, GB, The ML Invasion of ABC, Slides.pdf
• Florence d'Alché-Buc , Telecom ParisTech, FR, Random Fourier Features for Operator-Valued Kernels, Abstract | Slides.pdf

 
 
 
 

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