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

Schedule

All times in this Schedule are Pacific Time (PT)

Week 1: High-dimensional data, relational data and kernel methods
Monday, July 11, 2005
Morning Session
8:00 - 9:00	Check-In/Breakfast (Hosted by IPAM)
9:00 - 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 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Michael Jordan (University of California at Berkeley) TUTORIAL - Graphical models: parametric and nonparametric perspectives (Part 1)
2:30 - 3:00	Break
3:00 - 4:00	David Heckerman (Microsoft Research) Learning Graphical Models from Data
4:15 - 5:15	Gilad Lerman (University of Minnesota) Multiscale geometric clustering of data sets
5:30 - 7:00	Wine/Cheese Reception (Hosted by IPAM)
Tuesday, July 12, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 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 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Michael Jordan (University of California at Berkeley) TUTORIAL - Graphical models: parametric and nonparametric perspectives (Part 2)
2:30 - 3:00	Break
3:00 - 4:00	Leon Bottou (NEC) Fast kernel classifiers through online and active learning
4:15 - 5:15	Mauro Maggioni (Yale University) Diffusion Geometry and High-Dimensional Data
Wednesday, July 13, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 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 - 1:30	Lunch (Hosted by IPAM)
Afternoon Session
1:30 - 2:30	Michael Jordan (University of California at Berkeley) TUTORIAL - Graphical models: parametric and nonparametric perspectives (Part 3)
2:30 - 3:00	Break
3:00 - 4:00	Leslie Greengard (New York University) Biological network analysis
4:15 - 5:15	Leslie Greengard (New York University) Fast Multipole Method
Thursday, July 14, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 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) TUTORIAL - Reproducing Kernel Hilbert Spaces and why they are important.
11:30 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Grace Wahba (University of Wisconsin) TUTORIAL - The Multicategory Support Vector Machine (of Lee, Lin and Wahba)
2:30 - 3:00	Break
3:00 - 4:00	Grace Wahba (University of Wisconsin) TUTORIAL - Regularized Kernel Estimation (RKE) From Dissimilarity Data
4:15 - 5:15	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
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Tina Eliassi-Rad (Lawrence Livermore National Laboratory) 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 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Daphne Koller (Stanford University) TUTORIAL - Probabilistic Models of Relational Data (Part 2)
2:30 - 3:00	Break
3:00 - 4:00	Ronald Coifman (Yale University) Diffusion geometries as organisational tools for information and data analysis
4:15 - 5:15	John Lafferty (Carnegie Mellon University) Rodeo: Sparse nonparametric regression in high dimensions
Week 2: Image analysis and machine learning
Monday, July 18, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Guillermo Sapiro (University of Minnesota) 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) TUTORIAL - Geometry in high dimensional data and image processing (Part 2)
11:30 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Guillermo Sapiro (University of Minnesota) TUTORIAL - Geometry in high dimensional data and image processing (Part 3)
2:30 - 3:00	Break
3:00 - 4:00	Ronald Resmini (NGA) Dimension Reduction of Hyperspectral Image (HSI) Data
4:15 - 5:15	James Theiler (Los Alamos National Laboratory) Adventures in High Dimensional Data Analysis: Hyperspectral Gaseous Plume Detection
5:30 - 7:00	Wine/Cheese Reception (Hosted by IPAM)
Tuesday, July 19, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 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 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Kevin Vixie (Washington State University) TUTORIAL - Metrics and Regularizations in Image Analysis (Part 1)
2:30 - 3:00	Break
3:00 - 4:00	Rick Chartrand (Los Alamos National Laboratory) Detecting Nuclear Materials from Cosmic-Ray Muon Scattering Data
4:15 - 5:15	Tom Asaki (Los Alamos National Laboratory) Proton and X-ray tomography: Image analysis successes and challenges
Wednesday, July 20, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 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 - 1:30	Lunch (Hosted by IPAM)
Afternoon Session
1:30 - 2:30	Kevin Vixie (Washington State University) TUTORIAL -Metrics and Regularizations in Image Analysis (Part 2)
2:30 - 3:00	Break
3:00 - 4:00	Martial Hebert (Carnegie Mellon University) Unsupervised and weakly supervised extraction of information from image and video data
Thursday, July 21, 2005
Morning Session
8:00 - 9:00	Check-In/Breakfast (Hosted by IPAM)
9:00 - 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, Haifa, Israel) TUTORIAL - Introduction to numerical geometry of images
11:30 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Kevin Vixie (Washington State University) TUTORIAL - Metrics and Regularizations in Image Analysis (Part 3)
2:30 - 3:00	Break
3:00 - 4:00	Frédéric Cao (IRISA) / Jean-Michel Morel (École Normale Superieure, Cachan) A contrario detection of clusters, and application to shape recognition
4:15 - 5:15	Bruno Olshausen (University of California at Davis) Natural image statistics and biological vision
Friday, July 22, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 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, Haifa, Israel) TUTORIAL - Matching isometric manifolds by flat embedding
11:30 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Stanley Osher (Institute for Pure and Applied Mathematics) Inverse scale space for image restoration
2:30 - 3:00	Break
3:00 - 4:00	Demetri Terzopoulos (New York University) Face recognition
4:15 - 5:15	Richard Tsai (Princeton University) Visibility Optimizations
Week 3: Streaming data and networks
Monday, July 25, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	James Abello (Rutgers University) 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 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Godfried Toussaint (McGill University) Proximity Graphs for Instance-Based Learning
2:30 - 3:00	Break
3:00 - 4:00	Carey Priebe (Johns Hopkins University) Scan statistics on graphs
4:15 - 5:15	Piotr Indyk (Massachusetts Institute of Technology) Near(est) neighbor problem in high dimensions
5:30 - 7:00	Wine/Cheese Reception (Hosted by IPAM)
Tuesday, July 26, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	James Abello (Rutgers University) TUTORIAL - Massive Graph Mining (Part 2)
10:00 - 10:30	Break
10:30 - 11:30	Prabhakar Raghavan (Yahoo! Research) TUTORIAL - Segmentation problems
11:30 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Edward Scheinerman (Johns Hopkins University) Random Dot Product Graphs
2:30 - 3:00	Break
3:00 - 4:00	Andrew Moore (Carnegie Mellon University) Data structures and algorithms for tractable statistical mining of very high dimensional data.
4:15 - 5:15	Michael Mahoney (Yale University) Fast Monte Carlo Algorithms for Matrix Operations and Massive Data Set Analysis
Wednesday, July 27, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Shalev Itzkovitz (Weizmann Institute) 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 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	George Cybenko (Dartmouth University) Mathematics and algorithmics of process detection
2:30 - 3:00	Break
3:00 - 4:00	Terence Critchlow (Lawrence Livermore National Laboratory) Research Challenges in the BioEncyclopedia Project
4:15 - 5:15	William Szewczyk (Department of Defense) Dynamic Generalized Linear Models for Graphs
5:30 - 7:30	Dinner (Hosted by IPAM)
Thursday, July 28, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Shalev Itzkovitz (Weizmann Institute) 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 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Christos Faloutsos (Carnegie Mellon University) Finding patterns in large, real networks
2:30 - 3:00	Break
3:00 - 4:00	John Lafferty (Carnegie Mellon University) Conditional random fields
4:15 - 5:15	John Conroy (Institute for Defense Analyses) Content and the Scan Statistic for Enron
Friday, July 29, 2005
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Shalev Itzkovitz (Weizmann Institute) TUTORIAL: Analysis of Biological Networks (Part 3)
10:00 - 10:30	Break
10:30 - 11:30	Robert Nowak (University of Wisconsin) Statistical Inference in Sensor Networks
11:30 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Robert Burleson (Lawrence Livermore National Laboratory) Information to Insight
2:30 - 3:00	Break
3:00 - 4:00	Erik Bollt (Clarkson University) Cycles, Communities, Ergodicity and Communications in Network Topologies

Summer Schools

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

Schedule

Week 1: High-dimensional data, relational data and kernel methods

Monday, July 11, 2005

Morning Session

Afternoon Session

Tuesday, July 12, 2005

Morning Session

Afternoon Session

Wednesday, July 13, 2005

Morning Session

Afternoon Session

Thursday, July 14, 2005

Morning Session

Afternoon Session

Friday, July 15, 2005

Morning Session

Afternoon Session

Week 2: Image analysis and machine learning

Monday, July 18, 2005

Morning Session

Afternoon Session

Tuesday, July 19, 2005

Morning Session

Afternoon Session

Wednesday, July 20, 2005

Morning Session

Afternoon Session

Thursday, July 21, 2005

Morning Session

Afternoon Session

Friday, July 22, 2005

Morning Session

Afternoon Session

Week 3: Streaming data and networks

Monday, July 25, 2005

Morning Session

Afternoon Session

Tuesday, July 26, 2005

Morning Session

Afternoon Session

Wednesday, July 27, 2005

Morning Session

Afternoon Session

Thursday, July 28, 2005

Morning Session

Afternoon Session

Friday, July 29, 2005

Morning Session

Afternoon Session

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