| 2008 |
|---|
| 13 | EE | Robert D. Kleinberg,
Alexandru Niculescu-Mizil,
Yogeshwer Sharma:
Regret Bounds for Sleeping Experts and Bandits.
COLT 2008: 425-436 |
| 2007 |
|---|
| 12 | | Mark W. Schmidt,
Alexandru Niculescu-Mizil,
Kevin P. Murphy:
Learning Graphical Model Structure Using L1-Regularization Paths.
AAAI 2007: 1278-1283 |
| 11 | EE | David B. Skalak,
Alexandru Niculescu-Mizil,
Rich Caruana:
Classifier Loss Under Metric Uncertainty.
ECML 2007: 310-322 |
| 10 | EE | Tom Fawcett,
Alexandru Niculescu-Mizil:
PAV and the ROC convex hull.
Machine Learning 68(1): 97-106 (2007) |
| 2006 |
|---|
| 9 | EE | Rich Caruana,
Art Munson,
Alexandru Niculescu-Mizil:
Getting the Most Out of Ensemble Selection.
ICDM 2006: 828-833 |
| 8 | EE | Rich Caruana,
Alexandru Niculescu-Mizil:
An empirical comparison of supervised learning algorithms.
ICML 2006: 161-168 |
| 7 | EE | Cristian Bucila,
Rich Caruana,
Alexandru Niculescu-Mizil:
Model compression.
KDD 2006: 535-541 |
| 2005 |
|---|
| 6 | EE | Alexandru Niculescu-Mizil,
Rich Caruana:
Predicting good probabilities with supervised learning.
ICML 2005: 625-632 |
| 5 | EE | Alexandru Niculescu-Mizil,
Rich Caruana:
Obtaining Calibrated Probabilities from Boosting.
UAI 2005: 413- |
| 2004 |
|---|
| 4 | EE | Rich Caruana,
Alexandru Niculescu-Mizil,
Geoff Crew,
Alex Ksikes:
Ensemble selection from libraries of models.
ICML 2004 |
| 3 | EE | Rich Caruana,
Alexandru Niculescu-Mizil:
Data mining in metric space: an empirical analysis of supervised learning performance criteria.
KDD 2004: 69-78 |
| 2 | | Rich Caruana,
Alexandru Niculescu-Mizil:
An Empirical Evaluation of Supervised Learning for ROC Area.
ROCAI 2004: 1-8 |
| 1 | | Rich Caruana,
Alexandru Niculescu-Mizil:
Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria.
ROCAI 2004: 9-18 |
