Friday, June 30, 2017

Slides: Machine Learning Summer School @ Max Planck Institute for Intelligent Systems, Tübingen, Germany




Shai Ben-David
(Waterloo)
 Learning Theory.
Slides part 1 part 2 part 3
Dominik Janzing
(MPI for Intelligent Systems)
 Causality.
Slides here.
Stefanie Jegelka
(MIT)
 Submodularity.
Slides here.


Jure Lescovec
(Stanford)
Network Analysis.
Slides 1 2 3 4




Ruslan Salakhutdinov
(CMU)
Deep Learning.
Slides part 1 part 2


Suvrit Sra
(MIT)
Optimization.
Slides 1 2 3A 3B
Bharath Sriperumbudur
(PennState)
Kernel Methods.
Slides part 1 part 2 part 3


Max Welling
(Amsterdam)
Large Scale Bayesian Inference with an Application to Bayesian Deep Learning
Slides here.




Bernhard Schölkopf
(MPI for Intelligent Systems)
Introduction to ML and speak on Causality.
Slides here.

h/t Russ




Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

No comments:

Printfriendly