Speakers

Photograph of Arthur Gretton
talked about kernel methods more
Photograph of Arthur Szlam
will talk about deep learning more
Photograph of David Lopez-Paz
taught a practical about randomized algorithms more
Photograph of Francis Bach
talked about stochastic optimization more
Photograph of Isabel Valera
taught a practical on machine learning in networks more
Photograph of John Schulman
will talk about deep reinforcement learning more
Photograph of Jonas Peters
will talk about causality more
Photograph of Le Song
talked about machine learning on networks more
Photograph of Matthias Bethge
talked about visual representation in neuroscience more
Photograph of Michel Besserve
taught a tutorial about machine learning in neuroscience. more
Photograph of Neil Lawrence
talked about gaussian processes
Photograph of Nicolas Le Roux
talked about machine learning in the industry more
Photograph of Oriol Vinyals
will talk about deep learning
Photograph of Samory Kpotufe
talked about nonparametric minimax analysis more
Photograph of Shervin Safavi
talked about machine learning in Neurology more
Photograph of Stefanie Jegelka
will talk about submodularity more
Photograph of Stephane Mallat
talked about the mathematics of deep convolution neural networks more
Photograph of Sébastien Bubeck
talked about the multi bandit problem more
Photograph of Tamara Broderick
talked about nonparametric Bayesian methods more
Photograph of Utkarsh Upadhyay
taught a practical on machine learning in networks more