Machine Learning Summer School (MLSS), Chicago 2009

Machine Learning Summer School (MLSS), Chicago 2009

47 Videos · Jun 1, 2009

About

The theme of this year's summer school is Theory and Practice of Computational Learning, to be held in conjunction with a research workshop on the same topic, during the period June 1-11, 2009 at International House, University of Chicago. The program will consist of a mixture of tutorial lectures and research talks. 3-4 hours of tutorial lectures will be held in the morning, and the reserarch talks in the afternoon.


The Summer school homepage can be found at http://www.cse.ohio-state.edu/mlss09/

Videos

Opening

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07:15

Welcome Speech at the MLSS 2009

Steve Smale,

Mikhail Belkin

Jul 30, 2009

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4830 views

Tutorials

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02:32:57

Graphical Models and Applications

Yair Weiss

Jul 30, 2009

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13486 views

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02:49:05

Semi-Supervised Learning

Jerry (Xiaojin) Zhu

Jul 30, 2009

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22930 views

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03:05:36

Bounding Excess Risk in Machine Learning

Vladimir Koltchinskii

Jul 30, 2009

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7363 views

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02:49:58

Theory, Methods and Applications of Active Learning

Rui Castro,

Robert D. Nowak

Jul 30, 2009

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20644 views

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02:59:33

An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization

Emmanuel Candes

Jul 30, 2009

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79641 views

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03:01:09

Geometric Methods and Manifold Learning

Partha Niyogi,

Mikhail Belkin

Jul 30, 2009

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40903 views

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02:27:49

Analysis of Clustering Procedures

Sanjoy Dasgupta

Jul 30, 2009

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9717 views

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02:46:48

Kernel Methods and Support Vector Machines

John Shawe-Taylor

Jul 30, 2009

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17138 views

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02:42:23

Theory and Applications of Boosting

Robert Schapire

Jul 30, 2009

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24233 views

Plenary Talks

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55:23

Examining the Relative Influence of Familial, Genetic, and Environmental Covaria...

Grace Wahba

Jul 30, 2009

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4223 views

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58:41

Spectral Graph Theory, Linear Solvers and Applications

Gary L Miller

Jul 30, 2009

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8863 views

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47:29

Sparse Representations from Inverse Problems to Pattern Recognition

Stéphane Mallat

Jul 30, 2009

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14244 views

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59:29

Generative Models for Image Analysis

Stuart Geman

Jul 30, 2009

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6272 views

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45:52

Inference for Networks

Peter J. Bickel

Jul 30, 2009

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4502 views

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01:07:14

Matrix Completion via Convex Optimization: Theory and Algorithms

Emmanuel Candes

Jul 30, 2009

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24425 views

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01:10:11

Learning in Hierarchical Architectures: from Neuroscience to Derived Kernels

Tomaso A. Poggio

Jul 30, 2009

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9080 views

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51:33

The Stability of the Contour of an Orientable 2-Manifold

Herbert Edelsbrunner

Jul 30, 2009

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4108 views

Monday, June 1

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54:00

Geometric Inference for Probability Distribution

Frederic Chazal

Jul 30, 2009

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5298 views

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49:28

Cut Locus and Topology from Point Data

Tamal Dey

Jul 30, 2009

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5092 views

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01:00:47

PAC-Bayes Analysis: Background and Applications

John Shawe-Taylor

Jul 30, 2009

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5859 views

Tuesday, June 2

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55:36

Euler Calculus and Topological Data Management

Robert Ghrist

Jul 30, 2009

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7153 views

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51:29

Learning Dictionaries for Image Analysis and Sensing

Guillermo Sapiro

Jul 30, 2009

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15787 views

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58:33

Seeking Interpretable Models for High Dimensional Data

Bin Yu

Jul 30, 2009

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6325 views

Wednesday, June 3

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49:30

Vision and Hodge Theory

Stephen Smale

Jul 30, 2009

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5944 views

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50:43

Statistical Classification and Cluster Processes

Peter McCullagh

Jul 30, 2009

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4842 views

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55:19

Learning Deformable Models

Yali Amit

Jul 30, 2009

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5556 views

Thursday, June 4

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55:43

Optimization Algorithms in Support Vector Machines

Stephen J. Wright

Jul 30, 2009

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7192 views

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58:51

Learning Feature Hierarchies

Yann LeCun

Jul 30, 2009

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9490 views

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51:30

Unsupervised Learning for Stereo Vision

David McAllester

Jul 30, 2009

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6163 views

Friday, June 5

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46:23

Similarity-Based Classifiers: Problems and Solutions

Maya Gupta

Jul 30, 2009

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5602 views

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01:02:06

What Do Unique Games, Structural Biology and the Low-Rank Matrix Completion Prob...

Amit Singer

Jul 30, 2009

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6180 views

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59:22

On Surrogate Loss Functions, f-Divergences and Decentralized Detection

Michael I. Jordan

Jul 30, 2009

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8848 views

Saturday, June 6

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44:40

More Data Less Work: Runtime As A Monotonically Decreasing Function of Data Set ...

Nathan Srebro

Jul 30, 2009

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4061 views

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47:48

On Finding Low Error Clusterings

Maria-Florina Balcan

Jul 30, 2009

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7652 views

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53:34

How to Visualize the Unseeable

Xiaochuan Pan

Jul 30, 2009

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3609 views

Monday, June 8

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59:17

Fitting a Graph to Vector Data

Daniel A. Spielman

Jul 30, 2009

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6073 views

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01:01:41

On a Theory of Similarity Functions for Learning and Clustering

Avrim Blum

Jul 30, 2009

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5267 views

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47:30

A Bahadur Type Representation of the Linear Support Vector Machine and its Relat...

Yoonkyung Lee

Jul 30, 2009

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4487 views

Tuesday, June 9

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58:13

Multiscale Geometry and Harmonic Analysis of Data Bases

Ronald Coifman

Jul 30, 2009

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6226 views

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52:44

Cheeger Cuts and p-Spectral Clustering

Matthias Hein

Jul 30, 2009

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5649 views

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49:17

Graphical Models for Speech Recognition: Articulatory and Audio-Visual Models

Karen Livescu

Jul 30, 2009

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7164 views

Wednesday, June 10

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51:29

Drifting Games, Boosting and Online Learning

Yoav Freund

Jul 30, 2009

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5406 views

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54:38

MAP Estimation with Perfect Graphs

Tony Jebara

Jul 30, 2009

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5615 views

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38:46

Recent Progress in Combinatorial Statistics

Elchanan Mossel

Jul 30, 2009

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4306 views

Thursday, June 11

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57:29

Cocktail Party Problem as Binary Classification

DeLiang Wang

Jul 30, 2009

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6670 views

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54:54

Machine Learning in Acoustic Signal Processing

Mark Hasegawa-Johnson

Jul 30, 2009

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14084 views