Workshop Schedule
October 3, 2006
| 19:30 |
Workshop dinner
|
October 4, 2006
| 08:45 |
Registration, poster set-up
|
| 09:00 |
Welcome
|
| 09:15 |
Invited talk: Amy Greenwald, Brown University A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria |
| 09:45 |
Maria-Florina Balcan On a Theory of Learning with Similarity Functions |
| 10:00 |
Inmar Givoni Matrix Tile Analysis |
| 10:15 |
Jo-Anne Ting Towards Bayesian Black Box Learning Systems |
| 10:30 |
Coffee break
|
| 10:45 |
Invited talk: Jennifer Dy, Northeastern University Clustering High-Dimensional Data |
| 11:15 |
Katherine Heller Efficient Bayesian Algorithms for Clustering |
| 11:30 |
Rebecca Hutchinson Hidden Process Models |
| 11:45 |
Invited talk: Maya Gupta, University of Washington Recent advances in near-neighbor learning |
| 12:15 |
Spotlight talks: Jiayuan Huang Correcting sample selection bias by unlabeled data Alicia Peregrin Wolfe Decision Tree Methods for Finding Reusable MDP Homomorphisms Elena Zheleva Evaluating a Reputation-based Spam Classification System Ellie Lin Improving Robot Navigation Through Self-Supervised Online Learning |
| 12:30 |
Lunch
|
| 13:00 |
Poster session 1
|
| 13:45 |
Invited talk: Lise Getoor, University of Maryland SRL: Statistical Relational Learning |
| 14:15 |
Cecile Levasseur Generalized statistical methods for fraud detection |
| 14:30 |
Chloe-Agathe Azencott Kernels for the Predictive Regression of Physical, Chemical and Biological Properties of Small Molecules |
| 14:45 |
Invited talk: Marie desJardins, University of Maryland, Baltimore County Modeling and Learning User Preferences for Sets of Objects |
| 15:15 |
Coffee break
|
| 15:30 |
Bethany Leffler Efficient Exploration with Latent Structure |
| 15:45 |
Finale Doshi Efficient Model Learning for Dialog Management |
| 16:00 |
Soumi Ray Transfer in the context of Reinforcement Learning |
| 16:15 |
Spotlight talks: Gita Sukthankar Simultaneous Team Assignment and Behavior Recognition from Spatio-temporal Agent Traces Hila Becker An Online Learning System for the Prediction of Electricity Distribution Feeder Failures Melissa K Carroll Classification of fMRI Images: An Approach Using Viola-Jones Features Seyda Ertekin Fast Online Classification with Support Vector Machines |
| 16:30 |
Poster session 2
|
| 17:15 |
Open discussion
|
| 17:45 |
Closing remarks and poster take-down
|
| 18:00 |
End of workshop
|