| 2008 |
|---|
| 9 | EE | Ilias Diakonikolas,
Homin K. Lee,
Kevin Matulef,
Rocco A. Servedio,
Andrew Wan:
Efficiently Testing Sparse GF(2) Polynomials
CoRR abs/0805.1765: (2008) |
| 2007 |
|---|
| 8 | EE | Ilias Diakonikolas,
Homin K. Lee,
Kevin Matulef,
Krzysztof Onak,
Ronitt Rubinfeld,
Rocco A. Servedio,
Andrew Wan:
Testing for Concise Representations.
FOCS 2007: 549-558 |
| 7 | EE | Ariel Elbaz,
Homin K. Lee,
Rocco A. Servedio,
Andrew Wan:
Separating Models of Learning from Correlated and Uncorrelated Data.
Journal of Machine Learning Research 8: 277-290 (2007) |
| 6 | EE | Homin K. Lee,
Rocco A. Servedio,
Andrew Wan:
DNF are teachable in the average case.
Machine Learning 69(2-3): 79-96 (2007) |
| 2006 |
|---|
| 5 | EE | Homin K. Lee,
Rocco A. Servedio,
Andrew Wan:
DNF Are Teachable in the Average Case.
COLT 2006: 214-228 |
| 4 | EE | Andrew Wan,
Abdel Rigumye,
Phillip Jones:
Profile Based Routing and Billing Multimedia Content Delivery Network.
ICN/ICONS/MCL 2006: 172 |
| 3 | EE | Benjamin W. Wah,
Yixin Chen,
Andrew Wan:
Constrained Global Optimization by Constraint Partitioning and Simulated Annealing.
ICTAI 2006: 265-274 |
| 2005 |
|---|
| 2 | EE | Ariel Elbaz,
Homin K. Lee,
Rocco A. Servedio,
Andrew Wan:
Separating Models of Learning from Correlated and Uncorrelated Data.
COLT 2005: 637-651 |
| 1 | EE | Rocco A. Servedio,
Andrew Wan:
Computing sparse permanents faster.
Inf. Process. Lett. 96(3): 89-92 (2005) |
