Machine Learning Summer School (MLSS), La Palma 2012

Machine Learning Summer School (MLSS), La Palma 2012

17 Videos · Apr 11, 2012

About

The school addresses the following topics: Learning Theory, Kernel Methods, Bayesian Machine learning, Monte Carlo Methods , Bayesian Nonparametrics, Optimization, Graphical Models, Information theory and Dimensionality Reduction.

Detailed information can be found here.

Videos

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02:13:09

What is Machine Learning?

Neil D. Lawrence

May 13, 2013

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30878 views

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04:27:20

Kernel Methods

Bernhard Schölkopf

Jan 25, 2013

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15279 views

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01:35:21

Channel Coding with LDPC Codes

Fernando Perez-Cruz

Jan 25, 2013

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4886 views

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05:24:16

Dimensionality Reduction

Neil D. Lawrence

Jan 25, 2013

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13804 views

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38:31

Gaussian Process: Practical Course

Dilan Görür,

Zoubin Ghahramani

Jan 15, 2013

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8955 views

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02:26:14

Bayesian Modelling

Zoubin Ghahramani

Jan 15, 2013

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18284 views

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05:11:50

Optimization: Theory and Algorithms

Robert Vanderbei

Jan 15, 2013

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12534 views

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01:16:16

Graphical Models

Zoubin Ghahramani

Jan 15, 2013

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8267 views

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01:47:17

Nonparametric Bayesian Modelling

Zoubin Ghahramani

Jan 15, 2013

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8734 views

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01:25:50

Graph-based Semi-supervised Learning

Zoubin Ghahramani

Jan 15, 2013

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6203 views

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04:41:49

Concentration inequalities in machine learning

Gabor Lugosi

Jan 15, 2013

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11741 views

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01:27:44

Gaussian Processes

John Cunningham

Jan 15, 2013

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14407 views

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05:42:27

Diffusions and Geodesic Flows on Manifolds: The Differential Geometry of Markov ...

Mark Girolami

Jan 15, 2013

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7301 views

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52:32

Dirichlet Process: Practical Course

Dilan Görür

Jan 15, 2013

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11348 views

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03:24:27

Introduction to Bayesian Nonparametrics

Peter Orbanz

Jan 15, 2013

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25533 views

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01:47:38

Kingman's Coalescent for Hierarchical Representations

Dilan Görür

Jan 15, 2013

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4227 views

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01:34:47

Probabilistic decision-making, data analysis, and discovery in astronomy

David W. Hogg

Jan 15, 2013

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3908 views