Alexandru Niculescu-Mizil

Alexandru Niculescu-Mizil, Rich Caruana: Inductive Transfer for Bayesian Network Structure Learning. Journal of Machine Learning Research - Proceedings Track 27: 167-180 (2012)

Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daumé III: A Binary Classification Framework for Two-Stage Multiple Kernel Learning. ICML 2012

Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil: Bayesian models for Large-scale Hierarchical Classification. NIPS 2012: 2420-2428

Alexandru Niculescu-Mizil, Rich Caruana: Obtaining Calibrated Probabilities from Boosting. CoRR abs/1207.1403 (2012)

Yan Liu, Alexandru Niculescu-Mizil, Aurelie C. Lozano, Yong Lu: Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery. J. Bioinformatics and Computational Biology 9(2): 231-250 (2011)

Robert Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma: Regret bounds for sleeping experts and bandits. Machine Learning 80(2-3): 245-272 (2010)

Yan Liu, Alexandru Niculescu-Mizil, Aurelie C. Lozano, Yong Lu: Learning Temporal Causal Graphs for Relational Time-Series Analysis. ICML 2010: 687-694

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: Winning the KDD Cup Orange Challenge with Ensemble Selection. Journal of Machine Learning Research - Proceedings Track 7: 23-34 (2009)

Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc: Topic-link LDA: joint models of topic and author community. ICML 2009: 84

Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe: Spatial-temporal causal modeling for climate change attribution. KDD 2009: 587-596

Robert D. Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma: Regret Bounds for Sleeping Experts and Bandits. COLT 2008: 425-436

Alexandru Niculescu-Mizil, Rich Caruana: Inductive Transfer for Bayesian Network Structure Learning. Journal of Machine Learning Research - Proceedings Track 2: 339-346 (2007)

Tom Fawcett, Alexandru Niculescu-Mizil: PAV and the ROC convex hull. Machine Learning 68(1): 97-106 (2007)

Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy: Learning Graphical Model Structure Using L1-Regularization Paths. AAAI 2007: 1278-1283

David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana: Classifier Loss Under Metric Uncertainty. ECML 2007: 310-322

Rich Caruana, Art Munson, Alexandru Niculescu-Mizil: Getting the Most Out of Ensemble Selection. ICDM 2006: 828-833

Rich Caruana, Alexandru Niculescu-Mizil: An empirical comparison of supervised learning algorithms. ICML 2006: 161-168

Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil: Model compression. KDD 2006: 535-541

Alexandru Niculescu-Mizil, Rich Caruana: Predicting good probabilities with supervised learning. ICML 2005: 625-632

Alexandru Niculescu-Mizil, Rich Caruana: Obtaining Calibrated Probabilities from Boosting. UAI 2005: 413-

Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes: Ensemble selection from libraries of models. ICML 2004

Rich Caruana, Alexandru Niculescu-Mizil: Data mining in metric space: an empirical analysis of supervised learning performance criteria. KDD 2004: 69-78

Rich Caruana, Alexandru Niculescu-Mizil: An Empirical Evaluation of Supervised Learning for ROC Area. ROCAI 2004: 1-8

Rich Caruana, Alexandru Niculescu-Mizil: Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria. ROCAI 2004: 9-18