Workshop on Optimization and Matrix Methods in Big Data
With support from:
Schedule
| 08:00 to 09:15 |
Coffee and Registration
|
| 09:15 to 09:30 |
Welcoming Remarks
|
| 09:30 to 10:30 |
Petros Drineas (via WebEx) |
| 10:30 to 11:00 |
Coffee break
|
| 11:00 to 12:00 |
Alexandre d'Aspremont, École Normale Supérieure |
| 12:00 to 14:00 |
Lunch
|
| 14:00 to 15:00 |
Inderjit S. Dhillon, University of Texas |
| 15:00 to 15:30 |
Tea break
|
| 15:30 to 16:30 |
Convex regularization with the Diversity norm: properties and algorithms
Maryam Fazel, University of Washington |
| 16:30 |
No Title Specified
Michael Friedlander, University of California, Davis |
| 09:30 to 10:30 |
Spectral Methods for Generative and Discriminative Learning with Latent Variables
Animashree Anandkumar, University of California, Irvine |
| 10:30 to 11:00 |
Coffee break
|
| 11:00 to 12:00 |
Lin Xiao, Microsoft Research |
| 12:00 to 14:00 |
Lunch
|
| 14:00 to 15:00 |
Ben Recht (via WebEx) |
| 15:00 to 15:30 |
Tea break
|
| 15:30 to 16:30 |
Computing the Largest Entries in a Matrix Product via Sampling
Tamara Kolda, Sandia National Laboratories |
| 16:30 |
Yaniv Plan, University of British Columbia |
| 09:30 to 10:30 |
Michael Mahoney, University of California Berkeley |
| 10:30 to 11:00 |
Coffee break
|
| 11:00 to 12:00 |
Quentin Berthet, California Institute of Technology |
| 12:00 to 13:00 |
Lunch
|
| 13:00 to 14:00 |
Po-Ling Loh, University of Pennsylvania |
| 14:00 to 15:00 |
Jakub Marecek |
| 15:00 to 15:30 |
Tea break
|
| 15:30 |
Stephen A. Vavasis, University of Waterloo |
