Graduate Summer School: Intelligent Extraction of Information from Graphs and High Dimensional Data - IPAM

Graduate Summer School: Intelligent Extraction of Information from Graphs and High Dimensional Data

July 11 - 29, 2005

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, July 11, 2005

Morning Session

00:00-00:00
Week 1: High-dimensional data, relational data and kernel methods
08:00-09:00
Check-In/Light Breakfast (Hosted by IPAM)
09:00-10:00
Lawrence Saul (University of Pennsylvania)
TUTORIAL - Spectral Methods for Dimensionality Reduction (Part 1)
10:00-10:30
Break
10:30-11:30
Peter Jones (Yale University)
TUTORIAL - High dimensional geometry: concentration and curvature (Part 1)
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Michael Jordan (University of California, Berkeley (UC Berkeley))
TUTORIAL - Graphical models: parametric and nonparametric perspectives (Part 1)
14:30-15:00
Break
15:00-16:00
David Heckerman (Microsoft Research)
Learning Graphical Models from Data
16:15-17:15
Gilad Lerman (University of Minnesota, Twin Cities)
Multiscale geometric clustering of data sets
17:30-19:00
Wine/Cheese Reception (Hosted by IPAM)

Tuesday, July 12, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Lawrence Saul (University of Pennsylvania)
TUTORIAL - Spectral Methods for Dimensionality Reduction (Part 2)
10:00-10:30
Break
10:30-11:30
Peter Jones (Yale University)
TUTORIAL - High dimensional geometry: concentration and curvature (Part 2)
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Michael Jordan (University of California, Berkeley (UC Berkeley))
TUTORIAL - Graphical models: parametric and nonparametric perspectives (Part 2)
14:30-15:00
Break
15:00-16:00
Leon Bottou (Microsoft Research)
Fast kernel classifiers through online and active learning
16:15-17:15
Mauro Maggioni (Johns Hopkins University)
Diffusion Geometry and High-Dimensional Data

Wednesday, July 13, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Lawrence Saul (University of Pennsylvania)
TUTORIAL - Spectral Methods for Dimensionality Reduction (Part 3)
10:00-10:30
Break
10:30-11:30
Peter Jones (Yale University)
TUTORIAL - High dimensional geometry: concentration and curvature (Part 3)
11:30-13:30
Lunch (Hosted by IPAM)

Afternoon Session

13:30-14:30
Michael Jordan (University of California, Berkeley (UC Berkeley))
TUTORIAL - Graphical models: parametric and nonparametric perspectives (Part 3)
14:30-15:00
Break
15:00-16:00
Leslie Greengard (New York University)
Biological network analysis
16:15-17:15
Leslie Greengard (New York University)
Fast Multipole Method

Thursday, July 14, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Lawrence Saul (University of Pennsylvania)
TUTORIAL - Spectral Methods for Dimensionality Reduction (Part 4)
10:00-10:30
Break
10:30-11:30
Grace Wahba (University of Wisconsin-Madison)
TUTORIAL - Reproducing Kernel Hilbert Spaces and why they are important.
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Grace Wahba (University of Wisconsin-Madison)
TUTORIAL - The Multicategory Support Vector Machine (of Lee, Lin and Wahba)
14:30-15:00
Break
15:00-16:00
Grace Wahba (University of Wisconsin-Madison)
TUTORIAL - Regularized Kernel Estimation (RKE) From Dissimilarity Data
16:15-17:15
Ingo Steinwart (Los Alamos National Laboratory)
Some theoretical aspects of support vector machines and related kernel-based learning methods

Friday, July 15, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Tina Eliassi-Rad (Rutgers University)
Relationship Detection in Semantic Graphs
10:00-10:30
Break
10:30-11:30
Daphne Koller (Stanford University)
TUTORIAL - Probabilistic Models of Relational Data (Part 1)
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Daphne Koller (Stanford University)
TUTORIAL - Probabilistic Models of Relational Data (Part 2)
14:30-15:00
Break
15:00-16:00
Ronald Coifman (Yale University)
Diffusion geometries as organisational tools for information and data analysis
16:15-17:15
John Lafferty (Carnegie-Mellon University)
Rodeo: Sparse nonparametric regression in high dimensions

Monday, July 18, 2005

Morning Session

00:00-00:00
Week 2: Image analysis and machine learning
08:00-09:00
Continental Breakfast
09:00-10:00
Guillermo Sapiro (University of Minnesota, Twin Cities)
TUTORIAL - Geometry in high dimensional data and image processing (Part 1)
10:00-10:30
Break
10:30-11:30
Guillermo Sapiro (University of Minnesota, Twin Cities)
TUTORIAL - Geometry in high dimensional data and image processing (Part 2)
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Guillermo Sapiro (University of Minnesota, Twin Cities)
TUTORIAL - Geometry in high dimensional data and image processing (Part 3)
14:30-15:00
Break
15:00-16:00
Ronald Resmini (NGA)
Dimension Reduction of Hyperspectral Image (HSI) Data
16:15-17:15
James Theiler (Los Alamos National Laboratory)
Adventures in High Dimensional Data Analysis: Hyperspectral Gaseous Plume Detection
17:30-19:00
Wine/Cheese Reception (Hosted by IPAM)

Tuesday, July 19, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Yann LeCun (New York University)
TUTORIAL - Energy-Based Models (Part 1)
10:00-10:30
Break
10:30-11:30
Mehryar Mohri (New York University)
TUTORIAL - Rational Kernels: A Unifying Kernel Framework for the Analysis of Text, Speech, and Biological Sequences (Part 1)
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Kevin Vixie (Washington State University)
TUTORIAL - Metrics and Regularizations in Image Analysis (Part 1)
14:30-15:00
Break
15:00-16:00
Rick Chartrand (Los Alamos National Laboratory)
Detecting Nuclear Materials from Cosmic-Ray Muon Scattering Data
16:15-17:15
Tom Asaki (Los Alamos National Laboratory)
Proton and X-ray tomography: Image analysis successes and challenges

Wednesday, July 20, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Yann LeCun (New York University)
TUTORIAL - Energy-Based Models (Part 2)
10:00-10:30
Break
10:30-11:30
Mehryar Mohri (New York University)
TUTORIAL - Rational Kernels: A Unifying Kernel Framework for the Analysis of Text, Speech, and Biological Sequences (Part 2)
11:30-13:30
Lunch (Hosted by IPAM)

Afternoon Session

13:30-14:30
Kevin Vixie (Washington State University)
TUTORIAL -Metrics and Regularizations in Image Analysis (Part 2)
14:30-15:00
Break
15:00-16:00
Martial Hebert (Carnegie-Mellon University)
Unsupervised and weakly supervised extraction of information from image and video data

Thursday, July 21, 2005

Morning Session

08:00-09:00
Check-In/Light Breakfast (Hosted by IPAM)
09:00-10:00
Yann LeCun (New York University)
TUTORIAL - Learning Invariant Representations in High Dimension:Application to object detection and recognition in images.
10:00-10:30
Break
10:30-11:30
Ron Kimmel (Technion - Israel Institute of Technology)
TUTORIAL - Introduction to numerical geometry of images
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Kevin Vixie (Washington State University)
TUTORIAL - Metrics and Regularizations in Image Analysis (Part 3)
14:30-15:00
Break
15:00-16:00
Frédéric Cao (IRISA)
A contrario detection of clusters, and application to shape recognition
16:15-17:15
Bruno Olshausen (University of California at Davis)
Natural image statistics and biological vision

Friday, July 22, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Yann LeCun (New York University)
TUTORIAL - Learnable Metrics and Trainable Graph Machines.
10:00-10:30
Break
10:30-11:30
Ron Kimmel (Technion - Israel Institute of Technology)
TUTORIAL - Matching isometric manifolds by flat embedding
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Stanley Osher (University of California, Los Angeles (UCLA))
Inverse scale space for image restoration
14:30-15:00
Break
15:00-16:00
Demetri Terzopoulos (New York University)
Face recognition
16:15-17:15
Richard Tsai (University of Texas at Austin)
Visibility Optimizations

Monday, July 25, 2005

Morning Session

00:00-00:00
Week 3: Streaming data and networks
08:00-09:00
Continental Breakfast
09:00-10:00
James Abello (Rutgers University New Brunswick/Piscataway)
TUTORIAL - Massive Graph Mining (Part 1)
10:00-10:30
Break
10:30-11:30
Prabhakar Raghavan (Yahoo! Research)
TUTORIAL - Web classification and clustering using links
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Godfried Toussaint (McGill University)
Proximity Graphs for Instance-Based Learning
14:30-15:00
Break
15:00-16:00
Carey Priebe (Johns Hopkins University)
Scan statistics on graphs
16:15-17:15
Piotr Indyk (Massachusetts Institute of Technology)
Near(est) neighbor problem in high dimensions
17:30-19:00
Wine/Cheese Reception (Hosted by IPAM)

Tuesday, July 26, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
James Abello (Rutgers University New Brunswick/Piscataway)
TUTORIAL - Massive Graph Mining (Part 2)
10:00-10:30
Break
10:30-11:30
Prabhakar Raghavan (Yahoo! Research)
TUTORIAL - Segmentation problems
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Edward Scheinerman (Johns Hopkins University)
Random Dot Product Graphs
14:30-15:00
Break
15:00-16:00
Andrew Moore (Carnegie-Mellon University)
Data structures and algorithms for tractable statistical mining of very high dimensional data.
16:15-17:15
Michael Mahoney (Yahoo! Research)
Fast Monte Carlo Algorithms for Matrix Operations and Massive Data Set Analysis

Wednesday, July 27, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Shalev Itzkovitz (Weizmann Institute of Science)
TUTORIAL: Analysis of Biological Networks (Part 1)
10:00-10:30
Break
10:30-11:30
Prabhakar Raghavan (Yahoo! Research)
TUTORIAL - Vector space retrieval: extension, efficiency and evaluation
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
George Cybenko (Dartmouth College)
Mathematics and algorithmics of process detection
14:30-15:00
Break
15:00-16:00
Terence Critchlow (Lawrence Livermore National Laboratory)
Research Challenges in the BioEncyclopedia Project
16:15-17:15
William Szewczyk (Department of Defense)
Dynamic Generalized Linear Models for Graphs
17:30-19:30
Dinner (Hosted by IPAM)

Thursday, July 28, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Shalev Itzkovitz (Weizmann Institute of Science)
TUTORIAL: Analysis of Biological Networks (Part 2)
10:00-10:30
Break
10:30-11:30
Prabhakar Raghavan (Yahoo! Research)
TUTORIAL - Variable Latent Semantic Indexing
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Christos Faloutsos (Carnegie-Mellon University)
Finding patterns in large, real networks
14:30-15:00
Break
15:00-16:00
John Lafferty (Carnegie-Mellon University)
Conditional random fields
16:15-17:15
John Conroy (IDA Center for Computing Sciences)
Content and the Scan Statistic for Enron

Friday, July 29, 2005

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Shalev Itzkovitz (Weizmann Institute of Science)
TUTORIAL: Analysis of Biological Networks (Part 3)
10:00-10:30
Break
10:30-11:30
Robert Nowak (University of Wisconsin-Madison)
Statistical Inference in Sensor Networks
11:30-13:30
Lunch (on your own)

Afternoon Session

13:30-14:30
Robert Burleson (Lawrence Livermore National Laboratory)
Information to Insight
14:30-15:00
Break
15:00-16:00
Erik Bollt (Clarkson University)
Cycles, Communities, Ergodicity and Communications in Network Topologies
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