Machine Learning Summer School (MLSS), Chicago 2009
47 Lectures · 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/
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Uploaded videos:
Opening
Welcome Speech at the MLSS 2009
Jul 30, 2009
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4824 Views
Tutorials
Kernel Methods and Support Vector Machines
Jul 30, 2009
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17118 Views
Graphical Models and Applications
Jul 30, 2009
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13459 Views
Geometric Methods and Manifold Learning
Jul 30, 2009
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40817 Views
Theory, Methods and Applications of Active Learning
Jul 30, 2009
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20633 Views
Theory and Applications of Boosting
Jul 30, 2009
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24199 Views
Bounding Excess Risk in Machine Learning
Jul 30, 2009
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7348 Views
Analysis of Clustering Procedures
Jul 30, 2009
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9697 Views
An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Jul 30, 2009
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79557 Views
Semi-Supervised Learning
Jul 30, 2009
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22901 Views
Plenary Talks
Examining the Relative Influence of Familial, Genetic, and Environmental Covaria...
Jul 30, 2009
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4218 Views
Sparse Representations from Inverse Problems to Pattern Recognition
Jul 30, 2009
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14238 Views
Generative Models for Image Analysis
Jul 30, 2009
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6265 Views
Learning in Hierarchical Architectures: from Neuroscience to Derived Kernels
Jul 30, 2009
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9062 Views
The Stability of the Contour of an Orientable 2-Manifold
Jul 30, 2009
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4102 Views
Spectral Graph Theory, Linear Solvers and Applications
Jul 30, 2009
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8852 Views
Matrix Completion via Convex Optimization: Theory and Algorithms
Jul 30, 2009
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24382 Views
Inference for Networks
Jul 30, 2009
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4496 Views
Monday, June 1
Geometric Inference for Probability Distribution
Jul 30, 2009
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5291 Views
PAC-Bayes Analysis: Background and Applications
Jul 30, 2009
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5847 Views
Cut Locus and Topology from Point Data
Jul 30, 2009
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5082 Views
Tuesday, June 2
Euler Calculus and Topological Data Management
Jul 30, 2009
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7131 Views
Seeking Interpretable Models for High Dimensional Data
Jul 30, 2009
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6317 Views
Learning Dictionaries for Image Analysis and Sensing
Jul 30, 2009
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15778 Views
Wednesday, June 3
Vision and Hodge Theory
Jul 30, 2009
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5892 Views
Learning Deformable Models
Jul 30, 2009
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5549 Views
Statistical Classification and Cluster Processes
Jul 30, 2009
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4833 Views
Thursday, June 4
Optimization Algorithms in Support Vector Machines
Jul 30, 2009
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7163 Views
Unsupervised Learning for Stereo Vision
Jul 30, 2009
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6151 Views
Learning Feature Hierarchies
Jul 30, 2009
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9473 Views
Friday, June 5
On Surrogate Loss Functions, f-Divergences and Decentralized Detection
Jul 30, 2009
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8830 Views
Similarity-Based Classifiers: Problems and Solutions
Jul 30, 2009
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5592 Views
What Do Unique Games, Structural Biology and the Low-Rank Matrix Completion Prob...
Jul 30, 2009
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6172 Views
Saturday, June 6
More Data Less Work: Runtime As A Monotonically Decreasing Function of Data Set ...
Jul 30, 2009
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4042 Views
On Finding Low Error Clusterings
Jul 30, 2009
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7639 Views
How to Visualize the Unseeable
Jul 30, 2009
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3602 Views
Monday, June 8
On a Theory of Similarity Functions for Learning and Clustering
Jul 30, 2009
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5255 Views
A Bahadur Type Representation of the Linear Support Vector Machine and its Relat...
Jul 30, 2009
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4477 Views
Fitting a Graph to Vector Data
Jul 30, 2009
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6065 Views
Tuesday, June 9
Cheeger Cuts and p-Spectral Clustering
Jul 30, 2009
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5641 Views
Multiscale Geometry and Harmonic Analysis of Data Bases
Jul 30, 2009
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6217 Views
Graphical Models for Speech Recognition: Articulatory and Audio-Visual Models
Jul 30, 2009
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7156 Views
Wednesday, June 10
Drifting Games, Boosting and Online Learning
Jul 30, 2009
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5396 Views
Recent Progress in Combinatorial Statistics
Jul 30, 2009
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4296 Views
MAP Estimation with Perfect Graphs
Jul 30, 2009
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5605 Views
Thursday, June 11
Cocktail Party Problem as Binary Classification
Jul 30, 2009
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6658 Views
Machine Learning in Acoustic Signal Processing
Jul 30, 2009
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14071 Views