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 4856 views
Tutorials
Graphical Models and Applications
Jul 30, 2009 13557 views
Semi-Supervised Learning
Jul 30, 2009 22967 views
Bounding Excess Risk in Machine Learning
Jul 30, 2009 7407 views
Theory, Methods and Applications of Active Learning
Jul 30, 2009 20700 views
An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Jul 30, 2009 79760 views
Geometric Methods and Manifold Learning
Jul 30, 2009 41016 views
Analysis of Clustering Procedures
Jul 30, 2009 9757 views
Kernel Methods and Support Vector Machines
Jul 30, 2009 17210 views
Theory and Applications of Boosting
Jul 30, 2009 24292 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 8889 views
Sparse Representations from Inverse Problems to Pattern Recognition
Jul 30, 2009 14259 views
Generative Models for Image Analysis
Jul 30, 2009 6287 views
Inference for Networks
Jul 30, 2009 4518 views
Matrix Completion via Convex Optimization: Theory and Algorithms
Jul 30, 2009 24479 views
Learning in Hierarchical Architectures: from Neuroscience to Derived Kernels
Jul 30, 2009 9099 views
The Stability of the Contour of an Orientable 2-Manifold
Jul 30, 2009 4126 views
Monday, June 1
Geometric Inference for Probability Distribution
Jul 30, 2009 5308 views
Cut Locus and Topology from Point Data
Jul 30, 2009 5129 views
PAC-Bayes Analysis: Background and Applications
Jul 30, 2009 5887 views
Tuesday, June 2
Euler Calculus and Topological Data Management
Jul 30, 2009 7225 views
Learning Dictionaries for Image Analysis and Sensing
Jul 30, 2009 15820 views
Seeking Interpretable Models for High Dimensional Data
Jul 30, 2009 6354 views
Wednesday, June 3
Vision and Hodge Theory
Jul 30, 2009 5988 views
Statistical Classification and Cluster Processes
Jul 30, 2009 4856 views
Learning Deformable Models
Jul 30, 2009 5566 views
Thursday, June 4
Optimization Algorithms in Support Vector Machines
Jul 30, 2009 7229 views
Learning Feature Hierarchies
Jul 30, 2009 9509 views
Unsupervised Learning for Stereo Vision
Jul 30, 2009 6186 views
Friday, June 5
Similarity-Based Classifiers: Problems and Solutions
Jul 30, 2009 5611 views
What Do Unique Games, Structural Biology and the Low-Rank Matrix Completion Prob...
Jul 30, 2009 6200 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 4098 views
On Finding Low Error Clusterings
Jul 30, 2009 7674 views
How to Visualize the Unseeable
Jul 30, 2009 3635 views
Monday, June 8
Fitting a Graph to Vector Data
Jul 30, 2009 6089 views
On a Theory of Similarity Functions for Learning and Clustering
Jul 30, 2009 5280 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 6254 views
Cheeger Cuts and p-Spectral Clustering
Jul 30, 2009 5677 views
Graphical Models for Speech Recognition: Articulatory and Audio-Visual Models
Jul 30, 2009 7187 views
Wednesday, June 10
Drifting Games, Boosting and Online Learning
Jul 30, 2009 5424 views
MAP Estimation with Perfect Graphs
Jul 30, 2009 5636 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
