 |
Christopher
Bishop (Microsoft Research) spoke on Graphical
Models
video for part I,
part II, and
part III
slides for Chris' talks |
 | Michael
Black (MPI for Intelligent Systems) spoke on
Optical Flow
video of Michael's talk. |
 |
Karsten Borgwardt
(MPI for Intelligent Systems) spoke
on Computational Biology
video and
slides for Karsten's talk |
 |
Léon Bottou
(Microsoft Research) spoke on Multilayer
Networks
video for part I,
part II, and
part III
slides for Léon's talks |
|
|
Peter Dayan
(Gatsby Unit) spoke on Cognitive Learning
(on request of the speakers, this talk was not recorded)
slides for Peter's talks
|
 | Francesco
Dinuzzo (MPI for Intelligent Systems)taught a
practical on learning with kernels.
(practicals were not recorded)
website for this practical. |
 |
Peter Gehler (MPI for
Intelligent Systems)taught a
practical on learning with kernels.
(practicals were not recorded)
website for
this practical. |
 | Zoubin
Ghahramani (University of Cambridge)spoke on
Bayesian Inference
video for part
I,
part
II, and
part III
slides for first and second/third of Zoubin's
talks |
 | Manuel Gomez
Rodriguez (MPI for Intelligent Systems /
Stanford) taught a practical on network modeling
and information propagation
(practicals were not recorded)
slides and handout for Manuel's
tutorial |
 |
Dilan Görür
(Yahoo! Research) was scheduled to speak on
Personalization at Scale, but was unfortunately unable
to attend for administrative reasons. |
 |
Ralf Herbrich (Amazon)spoke on
Distributed Machine Learning at Scale
(on request of the speaker, this talk was not recorded)
slides for Ralf's talks
|
 | Thomas
Hofmann (Google Research)spoke on
Structured-Output Prediction
video for part
I, and
part II
slides for Thomas' talks.
|
 |
Dominik
Janzing
(MPI for Intelligent Systems) spoke on
Causality
video for part
I and part II, and slides for causality talk |
 |
Andreas Krause
(ETH Zürich) will speak on Submodularity
(video in preparation)
slides for Andreas' talk
|
 |
Tom
Minka (Microsoft Research)taught a
practical introduction to graphical models.
(practicals were not recorded)
|
 |
Massimiliano
Pontil (UCL)spoke on Transfer and
Multitask Learning.
(on request of the speaker, this talk was not recorded)
slides for Massimiliano's
talk
|
 |
Stefan Schaal
(MPI for Intelligent Systems) spoke on Learning
Robots
videos for part
I and part
II
slides part I and part II.
|
 | Matthias
Seeger (École Polytechnique
Fédérale de Lausanne) spoke on
Sparse Models
video and
slides for Matthias' talk. |
 | Ingo
Steinwart (University of Stuttgart) spoke on
Learning Theory
video for part I and
part II
slides for Ingo's talks.
|
 |
YeeWhye Teh
(University of Oxford)
spoke on
Bayesian Nonparametrics
video for part I,
part II, and
part III
slides for YeeWhye's talks.
|
 |
Marc
Toussaint (University of Stuttgart) spoke on
Bandits, Active Learning, Bayesian RL and Global
Optimization
video and
slides for
Marc's talk |
 |
Stephen Wright
(University of Wisconsin-Madison)
spoke on
Optimization
(video in preparation)
video for first,
second, and
third talk.
slides for Steve's talks
|
 | Yordan
Zaykov (Microsoft Research) taught a
practical introduction to graphical models.
(practicals were not recorded)
|
 | Bernhard
Schölkopf (MPI for Intelligent Systems)
spoke on the history of ML, Kernels and
Causality
video and slides for Bernhard's
What is ML talk
video and slides for Bernhard's
Kernels talk (with kernel quiz) (video in preparation)
video for part
I and part II, and slides for causality talk |
 | Stefan
Harmeling (MPI for Intelligent Systems)taught
a practical on matrix differential calculus
.
(practicals were not recorded)
Handout
for Stefan's practical. |
 | Philipp
Hennig (MPI for Intelligent Systems) spoke
on Gaussian Processes video for part
I, part
II, part
III slides for part
I, part II and part III talk (animations
work only in Adobe Reader), and tech
report on how to produce the animations in the slides.
|
