Machine Learning Summer School (MLSS), Chicago 2009
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/
Opening
Welcome Speech at the MLSS 2009
Jul 30, 2009 4857 views
Tutorials
Graphical Models and Applications
Jul 30, 2009 13562 views
Semi-Supervised Learning
Jul 30, 2009 22970 views
Bounding Excess Risk in Machine Learning
Jul 30, 2009 7414 views
Theory, Methods and Applications of Active Learning
Jul 30, 2009 20708 views
An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Jul 30, 2009 79772 views
Geometric Methods and Manifold Learning
Jul 30, 2009 41026 views
Analysis of Clustering Procedures
Jul 30, 2009 9765 views
Kernel Methods and Support Vector Machines
Jul 30, 2009 17216 views
Theory and Applications of Boosting
Jul 30, 2009 24301 views
Plenary Talks
Examining the Relative Influence of Familial, Genetic, and Environmental Covaria...
Jul 30, 2009 4246 views
Spectral Graph Theory, Linear Solvers and Applications
Jul 30, 2009 8891 views
Sparse Representations from Inverse Problems to Pattern Recognition
Jul 30, 2009 14260 views
Generative Models for Image Analysis
Jul 30, 2009 6291 views
Inference for Networks
Jul 30, 2009 4522 views
Matrix Completion via Convex Optimization: Theory and Algorithms
Jul 30, 2009 24481 views
Learning in Hierarchical Architectures: from Neuroscience to Derived Kernels
Jul 30, 2009 9101 views
The Stability of the Contour of an Orientable 2-Manifold
Jul 30, 2009 4129 views
Monday, June 1
Geometric Inference for Probability Distribution
Jul 30, 2009 5309 views
Cut Locus and Topology from Point Data
Jul 30, 2009 5131 views
PAC-Bayes Analysis: Background and Applications
Jul 30, 2009 5888 views
Tuesday, June 2
Euler Calculus and Topological Data Management
Jul 30, 2009 7229 views
Learning Dictionaries for Image Analysis and Sensing
Jul 30, 2009 15830 views
Seeking Interpretable Models for High Dimensional Data
Jul 30, 2009 6356 views
Wednesday, June 3
Vision and Hodge Theory
Jul 30, 2009 5990 views
Statistical Classification and Cluster Processes
Jul 30, 2009 4857 views
Learning Deformable Models
Jul 30, 2009 5569 views
Thursday, June 4
Optimization Algorithms in Support Vector Machines
Jul 30, 2009 7230 views
Learning Feature Hierarchies
Jul 30, 2009 9511 views
Unsupervised Learning for Stereo Vision
Jul 30, 2009 6187 views
Friday, June 5
Similarity-Based Classifiers: Problems and Solutions
Jul 30, 2009 5612 views
What Do Unique Games, Structural Biology and the Low-Rank Matrix Completion Prob...
Jul 30, 2009 6201 views
On Surrogate Loss Functions, f-Divergences and Decentralized Detection
Jul 30, 2009 8873 views
Saturday, June 6
More Data Less Work: Runtime As A Monotonically Decreasing Function of Data Set ...
Jul 30, 2009 4099 views
On Finding Low Error Clusterings
Jul 30, 2009 7676 views
How to Visualize the Unseeable
Jul 30, 2009 3635 views
Monday, June 8
Fitting a Graph to Vector Data
Jul 30, 2009 6093 views
On a Theory of Similarity Functions for Learning and Clustering
Jul 30, 2009 5281 views
A Bahadur Type Representation of the Linear Support Vector Machine and its Relat...
Jul 30, 2009 4513 views
Tuesday, June 9
Multiscale Geometry and Harmonic Analysis of Data Bases
Jul 30, 2009 6268 views
Cheeger Cuts and p-Spectral Clustering
Jul 30, 2009 5679 views
Graphical Models for Speech Recognition: Articulatory and Audio-Visual Models
Jul 30, 2009 7189 views
Wednesday, June 10
Drifting Games, Boosting and Online Learning
Jul 30, 2009 5433 views
MAP Estimation with Perfect Graphs
Jul 30, 2009 5640 views
Recent Progress in Combinatorial Statistics
Jul 30, 2009 4325 views
Thursday, June 11
Cocktail Party Problem as Binary Classification
Jul 30, 2009 6688 views
Machine Learning in Acoustic Signal Processing
Jul 30, 2009 14107 views
