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

Welcome Speech at the MLSS 2009
Jul 30, 2009
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4830 views
Tutorials

Graphical Models and Applications
Jul 30, 2009
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13486 views

Semi-Supervised Learning
Jul 30, 2009
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22930 views

Bounding Excess Risk in Machine Learning
Jul 30, 2009
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7363 views

Theory, Methods and Applications of Active Learning
Jul 30, 2009
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20644 views

An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Jul 30, 2009
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79641 views

Geometric Methods and Manifold Learning
Jul 30, 2009
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40903 views

Analysis of Clustering Procedures
Jul 30, 2009
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9717 views

Kernel Methods and Support Vector Machines
Jul 30, 2009
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17138 views

Theory and Applications of Boosting
Jul 30, 2009
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24233 views
Plenary Talks

Examining the Relative Influence of Familial, Genetic, and Environmental Covaria...
Jul 30, 2009
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4223 views

Spectral Graph Theory, Linear Solvers and Applications
Jul 30, 2009
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8863 views

Sparse Representations from Inverse Problems to Pattern Recognition
Jul 30, 2009
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14244 views

Generative Models for Image Analysis
Jul 30, 2009
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6272 views

Inference for Networks
Jul 30, 2009
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4502 views

Matrix Completion via Convex Optimization: Theory and Algorithms
Jul 30, 2009
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24425 views

Learning in Hierarchical Architectures: from Neuroscience to Derived Kernels
Jul 30, 2009
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9080 views

The Stability of the Contour of an Orientable 2-Manifold
Jul 30, 2009
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4108 views
Monday, June 1

Geometric Inference for Probability Distribution
Jul 30, 2009
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5298 views

Cut Locus and Topology from Point Data
Jul 30, 2009
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5092 views

PAC-Bayes Analysis: Background and Applications
Jul 30, 2009
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5859 views
Tuesday, June 2

Euler Calculus and Topological Data Management
Jul 30, 2009
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7153 views

Learning Dictionaries for Image Analysis and Sensing
Jul 30, 2009
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15787 views

Seeking Interpretable Models for High Dimensional Data
Jul 30, 2009
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6325 views
Wednesday, June 3

Vision and Hodge Theory
Jul 30, 2009
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5944 views

Statistical Classification and Cluster Processes
Jul 30, 2009
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4842 views

Learning Deformable Models
Jul 30, 2009
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5556 views
Thursday, June 4

Optimization Algorithms in Support Vector Machines
Jul 30, 2009
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7192 views

Learning Feature Hierarchies
Jul 30, 2009
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9490 views

Unsupervised Learning for Stereo Vision
Jul 30, 2009
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6163 views
Friday, June 5

Similarity-Based Classifiers: Problems and Solutions
Jul 30, 2009
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5602 views

What Do Unique Games, Structural Biology and the Low-Rank Matrix Completion Prob...
Jul 30, 2009
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6180 views

On Surrogate Loss Functions, f-Divergences and Decentralized Detection
Jul 30, 2009
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8848 views
Saturday, June 6

More Data Less Work: Runtime As A Monotonically Decreasing Function of Data Set ...
Jul 30, 2009
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4061 views

On Finding Low Error Clusterings
Jul 30, 2009
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7652 views

How to Visualize the Unseeable
Jul 30, 2009
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3609 views
Monday, June 8

Fitting a Graph to Vector Data
Jul 30, 2009
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6073 views

On a Theory of Similarity Functions for Learning and Clustering
Jul 30, 2009
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5267 views

A Bahadur Type Representation of the Linear Support Vector Machine and its Relat...
Jul 30, 2009
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4487 views
Tuesday, June 9

Multiscale Geometry and Harmonic Analysis of Data Bases
Jul 30, 2009
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6226 views

Cheeger Cuts and p-Spectral Clustering
Jul 30, 2009
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5649 views

Graphical Models for Speech Recognition: Articulatory and Audio-Visual Models
Jul 30, 2009
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7164 views
Wednesday, June 10

Drifting Games, Boosting and Online Learning
Jul 30, 2009
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5406 views

MAP Estimation with Perfect Graphs
Jul 30, 2009
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5615 views

Recent Progress in Combinatorial Statistics
Jul 30, 2009
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4306 views
Thursday, June 11

Cocktail Party Problem as Binary Classification
Jul 30, 2009
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6670 views

Machine Learning in Acoustic Signal Processing
Jul 30, 2009
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14084 views