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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4829 views
Tutorials

Graphical Models and Applications
Jul 30, 2009
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13482 views

Semi-Supervised Learning
Jul 30, 2009
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22928 views

Bounding Excess Risk in Machine Learning
Jul 30, 2009
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7362 views

Theory, Methods and Applications of Active Learning
Jul 30, 2009
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20643 views

An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Jul 30, 2009
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79632 views

Geometric Methods and Manifold Learning
Jul 30, 2009
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40895 views

Analysis of Clustering Procedures
Jul 30, 2009
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9713 views

Kernel Methods and Support Vector Machines
Jul 30, 2009
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17134 views

Theory and Applications of Boosting
Jul 30, 2009
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24228 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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8862 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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6271 views

Inference for Networks
Jul 30, 2009
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4501 views

Matrix Completion via Convex Optimization: Theory and Algorithms
Jul 30, 2009
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24418 views

Learning in Hierarchical Architectures: from Neuroscience to Derived Kernels
Jul 30, 2009
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9078 views

The Stability of the Contour of an Orientable 2-Manifold
Jul 30, 2009
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4107 views
Monday, June 1

Geometric Inference for Probability Distribution
Jul 30, 2009
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5297 views

Cut Locus and Topology from Point Data
Jul 30, 2009
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5091 views

PAC-Bayes Analysis: Background and Applications
Jul 30, 2009
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5856 views
Tuesday, June 2

Euler Calculus and Topological Data Management
Jul 30, 2009
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7150 views

Learning Dictionaries for Image Analysis and Sensing
Jul 30, 2009
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15786 views

Seeking Interpretable Models for High Dimensional Data
Jul 30, 2009
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6324 views
Wednesday, June 3

Vision and Hodge Theory
Jul 30, 2009
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5939 views

Statistical Classification and Cluster Processes
Jul 30, 2009
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4841 views

Learning Deformable Models
Jul 30, 2009
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5555 views
Thursday, June 4

Optimization Algorithms in Support Vector Machines
Jul 30, 2009
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7190 views

Learning Feature Hierarchies
Jul 30, 2009
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9489 views

Unsupervised Learning for Stereo Vision
Jul 30, 2009
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6160 views
Friday, June 5

Similarity-Based Classifiers: Problems and Solutions
Jul 30, 2009
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5601 views

What Do Unique Games, Structural Biology and the Low-Rank Matrix Completion Prob...
Jul 30, 2009
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6179 views

On Surrogate Loss Functions, f-Divergences and Decentralized Detection
Jul 30, 2009
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8842 views
Saturday, June 6

More Data Less Work: Runtime As A Monotonically Decreasing Function of Data Set ...
Jul 30, 2009
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4058 views

On Finding Low Error Clusterings
Jul 30, 2009
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7651 views

How to Visualize the Unseeable
Jul 30, 2009
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3608 views
Monday, June 8

Fitting a Graph to Vector Data
Jul 30, 2009
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6070 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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4485 views
Tuesday, June 9

Multiscale Geometry and Harmonic Analysis of Data Bases
Jul 30, 2009
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6224 views

Cheeger Cuts and p-Spectral Clustering
Jul 30, 2009
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5648 views

Graphical Models for Speech Recognition: Articulatory and Audio-Visual Models
Jul 30, 2009
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7163 views
Wednesday, June 10

Drifting Games, Boosting and Online Learning
Jul 30, 2009
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5405 views

MAP Estimation with Perfect Graphs
Jul 30, 2009
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5614 views

Recent Progress in Combinatorial Statistics
Jul 30, 2009
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4305 views
Thursday, June 11

Cocktail Party Problem as Binary Classification
Jul 30, 2009
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6668 views

Machine Learning in Acoustic Signal Processing
Jul 30, 2009
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14083 views