| 2011 |
|---|
| 20 | Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery. Yan Liu, Alexandru Niculescu-Mizil, Aurelie C. Lozano, Yong Lu. J. Bioinformatics and Computational Biology (9): 231-250 (2011). Web SearchBibTeXDownload |
| 2010 |
|---|
| 19 | Learning Temporal Causal Graphs for Relational Time-Series Analysis. Yan Liu, Alexandru Niculescu-Mizil, Aurelie C. Lozano, Yong Lu. ICML 2010, 687-694. Web SearchBibTeXDownload |
| 18 | Regret bounds for sleeping experts and bandits. Robert Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma. Machine Learning (80): 245-272 (2010). Web SearchBibTeXDownload |
| 2009 |
|---|
| 17 | Topic-link LDA: joint models of topic and author community. Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc. ICML 2009, 84. Web SearchBibTeXDownload |
| 16 | Winning the KDD Cup Orange Challenge with Ensemble Selection. Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yan Feng Zhu. Journal of Machine Learning Research - Proceedings Track (7): 23-34 (2009). Web SearchBibTeXDownload |
| 15 | Spatial-temporal causal modeling for climate change attribution. Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe. KDD 2009, 587-596. Web SearchBibTeXDownload |
| 2008 |
|---|
| 14 | Regret Bounds for Sleeping Experts and Bandits. Robert D. Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma. COLT 2008, 425-436. Web SearchBibTeXDownload |
| 2007 |
|---|
| 13 | Learning Graphical Model Structure Using L1-Regularization Paths. Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy. AAAI 2007, 1278-1283. Web SearchBibTeX |
| 12 | Classifier Loss Under Metric Uncertainty. David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana. ECML 2007, 310-322. Web SearchBibTeXDownload |
| 11 | Inductive Transfer for Bayesian Network Structure Learning. Alexandru Niculescu-Mizil, Rich Caruana. Journal of Machine Learning Research - Proceedings Track (2): 339-346 (2007). Web SearchBibTeXDownload |
| 10 | PAV and the ROC convex hull. Tom Fawcett, Alexandru Niculescu-Mizil. Machine Learning (68): 97-106 (2007). Web SearchBibTeXDownload |
| 2006 |
|---|
| 9 | Getting the Most Out of Ensemble Selection. Rich Caruana, Art Munson, Alexandru Niculescu-Mizil. ICDM 2006, 828-833. Web SearchBibTeXDownload |
| 8 | An empirical comparison of supervised learning algorithms. Rich Caruana, Alexandru Niculescu-Mizil. ICML 2006, 161-168. Web SearchBibTeXDownload |
| 7 | Model compression. Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil. KDD 2006, 535-541. Web SearchBibTeXDownload |
| 2005 |
|---|
| 6 | Predicting good probabilities with supervised learning. Alexandru Niculescu-Mizil, Rich Caruana. ICML 2005, 625-632. Web SearchBibTeXDownload |
| 5 | Obtaining Calibrated Probabilities from Boosting. Alexandru Niculescu-Mizil, Rich Caruana. UAI 2005, 413. Web SearchBibTeXDownload |
| 2004 |
|---|
| 4 | Ensemble selection from libraries of models. Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes. ICML 2004. Web SearchBibTeXDownload |
| 3 | Data mining in metric space: an empirical analysis of supervised learning performance criteria. Rich Caruana, Alexandru Niculescu-Mizil. KDD 2004, 69-78. Web SearchBibTeXDownload |
| 2 | An Empirical Evaluation of Supervised Learning for ROC Area. Rich Caruana, Alexandru Niculescu-Mizil. ROCAI 2004, 1-8. Web SearchBibTeX |
| 1 | Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria. Rich Caruana, Alexandru Niculescu-Mizil. ROCAI 2004, 9-18. Web SearchBibTeX |
