NIPS Workshops, Lake Tahoe 2012

NIPS Workshops, Lake Tahoe 2012

14 Videos · Dec 7, 2012

About

The Post-Conference Workshop Program covered a wide range of topics from Neuroscience to Machine Learning.

Detailed information can be found at NIPS 2012 Workshops homepage.


NIPS Oral Sessions videos are available at [[nips2012_laketahoe]]

NIPS Spotlight Sessions videos are available at [[machine_learning_video_abstracts_vol3/]]

Videos

Discrete Optimization in Machine Learning

video-img
57:29

Submodularity and Discrete Convexity

Satoru Fujishige

Jan 16, 2013

 · 

9061 views

video-img
50:29

Computational and Statistical Tradeoffs via Convex Relaxation

Venkat Chandrasekaran

Jan 16, 2013

 · 

4836 views

video-img
42:40

What cannot be learned with Bethe Approximations

Amir Globerson

Jan 16, 2013

 · 

3677 views

Modern Nonparametric Methods in Machine Learning

video-img
03:49

Nonparametric Mixtures of Multi-Output Heteroscedastic Gaussian Processes for Vo...

Emmanouil A. Platanios

Jan 16, 2013

 · 

2794 views

video-img
04:46

Nonparametric Density Estimation for Capture-Recapture

Zachary Kurtz

Jan 16, 2013

 · 

2923 views

video-img
05:07

Posterior consistency for the number of components in a finite mixture

Jeffrey W. Miller

Jan 16, 2013

 · 

3052 views

video-img
04:51

Non-ParametricCRFs for Image Labeling

Jeremy Jancsary

Jan 16, 2013

 · 

2750 views

Draft
video-img
04:52

Gaussian Processes for Identifying Damped Lyman-α Systems in Spectroscopic Sur...

Roman Garnett

Sep 4, 2019

 · 

122 views

Draft
video-img
03:27

Sticky HDP-HMM for Prediction of Economic Events

David Allen

Sep 4, 2019

 · 

99 views

Probabilistic Numerics

video-img
11:58

Introduction by the Organizer

Philipp Hennig

Jan 15, 2013

 · 

2469 views

video-img
38:47

Bayesian Numerical Analysis

Persi Diaconis

Jan 15, 2013

 · 

6157 views

Confluence between Kernel Methods and Graphical Models

video-img
28:59

Kernel Bayes Rule

Kenji Fukumizu

Jan 16, 2013

 · 

3587 views

video-img
15:46

Fast Food: Approximating Kernel Expansion in Loglinear Time

Alex Smola

Jan 18, 2013

 · 

9459 views

video-img
11:12

Kernel Methods for Learning Motion Patterns

Lachlan McCalman

Jan 31, 2013

 · 

2848 views