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Machine Learning Summer School (MLSS), Chicago 2009

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

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07:15

Welcome Speech at the MLSS 2009

Steve Smale,

Mikhail Belkin

calendar icon Jul 30, 2009 4856 views

Tutorials

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02:32:57

Graphical Models and Applications

Yair Weiss

calendar icon Jul 30, 2009 13557 views

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02:49:05

Semi-Supervised Learning

Jerry (Xiaojin) Zhu

calendar icon Jul 30, 2009 22967 views

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03:05:36

Bounding Excess Risk in Machine Learning

Vladimir Koltchinskii

calendar icon Jul 30, 2009 7407 views

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02:49:58

Theory, Methods and Applications of Active Learning

Rui Castro,

Robert D. Nowak

calendar icon Jul 30, 2009 20700 views

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02:59:33

An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization

Emmanuel Candes

calendar icon Jul 30, 2009 79760 views

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03:01:09

Geometric Methods and Manifold Learning

Partha Niyogi,

Mikhail Belkin

calendar icon Jul 30, 2009 41016 views

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02:27:49

Analysis of Clustering Procedures

Sanjoy Dasgupta

calendar icon Jul 30, 2009 9757 views

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02:46:48

Kernel Methods and Support Vector Machines

John Shawe-Taylor

calendar icon Jul 30, 2009 17210 views

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02:42:23

Theory and Applications of Boosting

Robert Schapire

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Plenary Talks

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55:23

Examining the Relative Influence of Familial, Genetic, and Environmental Covaria...

Grace Wahba

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58:41

Spectral Graph Theory, Linear Solvers and Applications

Gary L Miller

calendar icon Jul 30, 2009 8889 views

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47:29

Sparse Representations from Inverse Problems to Pattern Recognition

Stéphane Mallat

calendar icon Jul 30, 2009 14259 views

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59:29

Generative Models for Image Analysis

Stuart Geman

calendar icon Jul 30, 2009 6287 views

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45:52

Inference for Networks

Peter J. Bickel

calendar icon Jul 30, 2009 4518 views

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01:07:14

Matrix Completion via Convex Optimization: Theory and Algorithms

Emmanuel Candes

calendar icon Jul 30, 2009 24479 views

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01:10:11

Learning in Hierarchical Architectures: from Neuroscience to Derived Kernels

Tomaso A. Poggio

calendar icon Jul 30, 2009 9099 views

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51:33

The Stability of the Contour of an Orientable 2-Manifold

Herbert Edelsbrunner

calendar icon Jul 30, 2009 4126 views

Monday, June 1

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54:00

Geometric Inference for Probability Distribution

Frederic Chazal

calendar icon Jul 30, 2009 5308 views

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49:28

Cut Locus and Topology from Point Data

Tamal Dey

calendar icon Jul 30, 2009 5129 views

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01:00:47

PAC-Bayes Analysis: Background and Applications

John Shawe-Taylor

calendar icon Jul 30, 2009 5887 views

Tuesday, June 2

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55:36

Euler Calculus and Topological Data Management

Robert Ghrist

calendar icon Jul 30, 2009 7225 views

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51:29

Learning Dictionaries for Image Analysis and Sensing

Guillermo Sapiro

calendar icon Jul 30, 2009 15820 views

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58:33

Seeking Interpretable Models for High Dimensional Data

Bin Yu

calendar icon Jul 30, 2009 6354 views

Wednesday, June 3

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49:30

Vision and Hodge Theory

Stephen Smale

calendar icon Jul 30, 2009 5988 views

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50:43

Statistical Classification and Cluster Processes

Peter McCullagh

calendar icon Jul 30, 2009 4856 views

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55:19

Learning Deformable Models

Yali Amit

calendar icon Jul 30, 2009 5566 views

Thursday, June 4

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55:43

Optimization Algorithms in Support Vector Machines

Stephen J. Wright

calendar icon Jul 30, 2009 7229 views

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58:51

Learning Feature Hierarchies

Yann LeCun

calendar icon Jul 30, 2009 9509 views

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51:30

Unsupervised Learning for Stereo Vision

David McAllester

calendar icon Jul 30, 2009 6186 views

Friday, June 5

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46:23

Similarity-Based Classifiers: Problems and Solutions

Maya Gupta

calendar icon Jul 30, 2009 5611 views

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01:02:06

What Do Unique Games, Structural Biology and the Low-Rank Matrix Completion Prob...

Amit Singer

calendar icon Jul 30, 2009 6200 views

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59:22

On Surrogate Loss Functions, f-Divergences and Decentralized Detection

Michael I. Jordan

calendar icon Jul 30, 2009 8873 views

Saturday, June 6

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44:40

More Data Less Work: Runtime As A Monotonically Decreasing Function of Data Set ...

Nathan Srebro

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47:48

On Finding Low Error Clusterings

Maria-Florina Balcan

calendar icon Jul 30, 2009 7674 views

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53:34

How to Visualize the Unseeable

Xiaochuan Pan

calendar icon Jul 30, 2009 3635 views

Monday, June 8

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59:17

Fitting a Graph to Vector Data

Daniel A. Spielman

calendar icon Jul 30, 2009 6089 views

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01:01:41

On a Theory of Similarity Functions for Learning and Clustering

Avrim Blum

calendar icon Jul 30, 2009 5280 views

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47:30

A Bahadur Type Representation of the Linear Support Vector Machine and its Relat...

Yoonkyung Lee

calendar icon Jul 30, 2009 4513 views

Tuesday, June 9

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58:13

Multiscale Geometry and Harmonic Analysis of Data Bases

Ronald Coifman

calendar icon Jul 30, 2009 6254 views

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52:44

Cheeger Cuts and p-Spectral Clustering

Matthias Hein

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49:17

Graphical Models for Speech Recognition: Articulatory and Audio-Visual Models

Karen Livescu

calendar icon Jul 30, 2009 7187 views

Wednesday, June 10

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51:29

Drifting Games, Boosting and Online Learning

Yoav Freund

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54:38

MAP Estimation with Perfect Graphs

Tony Jebara

calendar icon Jul 30, 2009 5636 views

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38:46

Recent Progress in Combinatorial Statistics

Elchanan Mossel

calendar icon Jul 30, 2009 4325 views

Thursday, June 11

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57:29

Cocktail Party Problem as Binary Classification

DeLiang Wang

calendar icon Jul 30, 2009 6688 views

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54:54

Machine Learning in Acoustic Signal Processing

Mark Hasegawa-Johnson

calendar icon Jul 30, 2009 14107 views

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