Machine Learning Summer School 2020

The list of speakers is growing. The following speakers are confirmed.

	Francis Bach INRIA Optimization
	Stefan Bauer Max Planck Institute for Intelligent Systems Causal Inference
	Yoshua Bengio University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNC Deep learning
	Michael Bronstein Imperial College London and Twitter Geometric Deep Learning
	Nicoló Cesa-Bianchi University of Milan Learning Theory
	Marco Cuturi Google Brain and Institut Polytechnique de Paris Optimal Transport
	Constantinos Daskalakis Massachusetts Institute of Technology (MIT) Game Theory in Machine Learning
	Peter Dayan Max Planck Institute for Biological Cybernetics Machine learning for Computational Neuroscience
	Arthur Gretton Gatsby Computational Neuroscience Unit, UCL Kernel Methods
	Moritz Hardt University of California, Berkeley Fairness
	Shakir Mohamed DeepMind Bayesian Inference
	Sonia Petrone Bocconi University Bayesian Prediction with Streaming Data
	Doina Precup McGill University and DeepMind (Deep) Reinforcement Learning
	Maria Schuld Xanadu and University of KwaZulu-Natal Quantum Machine Learning
	Bernhard Schölkopf Max Planck Institute for Intelligent Systems Causal Inference
	Yee Whye Teh University of Oxford and DeepMind Meta-Learning
	Mihaela van der Schaar University of Cambridge and Alan Turing Institute Machine Learning for Healthcare

The Machine Learning Summer School