Alex's Home Page NEC Laboratories America 4 Independence Way, Suite 200 Princeton, NJ 08540 Tel. +1(609)951-2968 alexnic at gmail com

    I've moved to Princeton, NJ, and joined the Machine Learning Department at NEC Labs America. My research spans several areas of machine learning, including transfer learning, ensemble learning, predicting calibrated probabilities with supervised learning and on-line learning. I am also interested in unsupervised/semi-supervised learning and learning from weaker feedback (e.g. multi-instance learning, multi label learning, learning from preferences).

• Journal papers:
  • Robert Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma: Regret Bounds for Sleeping Experts and Bandits - Machine Learning Journal, Vol. 80, No. 2, September 2010, pp. 245-272.
  • Alexandru Niculescu-Mizil, et al. : Winning the KDD Cup Orange Challenge with Ensemble Selection - Journal of Machine Learning Research, W&CP 7 (2009), pp. 23-34.
  • Tom Fawcett, Alexandru Niculescu-Mizil: PAV and the ROC Convex Hull - Machine Learning, Technical Note, Vol. 68, No. 1, July 2007, pp. 97-106 [Springer Link].
• Peer reviewed conference papers:
  • Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil: Bayesian Models for Large-Scale Hierarchical Classification - Proceedings of the 26th Neural Information Processing Systems (NIPS 12). [Code]
  • Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daume III: A Binary Classification Framework for Two Stage Multiple Kernel Learning - Proceedings of the 29th International Conference on Machine Learning (ICML `12). [Supplementary Material][Code]
  • Yan Liu, Alexandru Niculescu-Mizil, Aurelie Lozano, Young Lu: Learning Temporal Graphs for Relational Time-Series Analysis - Proceedings of the 27th International Conference on Machine Learning (ICML `10).
  • Yan Liu, Alexandru Niculescu-Mizil, Aurelie Lozano, Young Lu: Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery - Proceedings of the 9th International Conference on Computational Systems Bioinformatics (CSB `10).
  • Aurelie Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan Hosking, Naoki Abe: Spatial-temporal Causal Modeling for Climate Change Attribution - Proceedings of the 15th International Conference on Knowledge Discovery and Data Mining (KDD `09).
  • Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc: Topic-Link LDA: Joint Models of Topic and Author Community - Proceedings of the 26th International Conference on Machine Learning (ICML `09).
  • Robert Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma: Regret Bounds for Sleeping Experts and Bandits - Proceedings of the 21st Annual Conference on Learning Theory (COLT `08). Best student paper award.
  • Alexandru Niculescu-Mizil, Rich Caruana: Inductive Transfer for Bayesian Network Structure Learning - Proceedings of the 11th International Conference on AI and Statistics (AISTATS `07).
  • David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana: Classifier Loss under Metric Uncertainty - Proceedings of the 18th European Conference on Machine Learning (ECML `07).
  • Mark Schmidt, Alexandru Niculescu-Mizil, Kevin Murphy: Learning Graphical Model Structure using L1-Regularization Paths - Proceedings of the 22nd Conference on Artificial Intelligence (AAAI `07).
  • Rich Caruana, Alexandru Niculescu-Mizil: An Empirical Comparison of Supervised Learning Algorithms - Proceedings of the 23rd International Conference on Machine Learning (ICML `06). Top and bottom of the scales used to calculate normalized scores.
  • Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil: Model Compression - Proceedings of the 12th International Conference on Knowledge Discovery and Data Mining (KDD `06).
  • Rich Caruana, Art Munson, Alexandru Niculescu-Mizil: Getting the Most Out of Ensemble Selection - Proceedings of the 6th International Conference on Data Mining (ICDM `06). Full-length version.
  • Alexandru Niculescu-Mizil, Rich Caruana: Predicting Good Probabilities With Supervised Learning - Proceedings of the 22nd International Conference on Machine Learning (ICML `05). Distinguished student paper award.
  • Alexandru Niculescu-Mizil, Rich Caruana: Obtaining Calibrated Probabilities from Boosting - Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI `05).
  • Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes: Ensemble Selection from Libraries of Models - Proceedings of the 21st International Conference on Machine Learning (ICML `04).
  • Rich Caruana, Alexandru Niculescu-Mizil: Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria - Proceedings of the 10th International Conference on Knowledge Discovery and Data Mining (KDD `04).
• Workshop papers:
  • Alexandru Niculescu-Mizil: Multi-Armed Bandits with Betting - On-line Learning with Limited Feedback (COLT 09 Workshop).
  • Alexandru Niculescu-Mizil, Rich Caruana: Learning the Structure of Related Tasks - Inductive Transfer: 10 Years Later Workshop (ITWS `05).
  • Rich Caruana, Alexandru Niculescu-Mizil: An Empirical Evaluation of Supervised Learning for ROC Area - First Workshop of ROC Analysis in AI (ROCAI `04).
• Technical reports:
  • Rich Caruana, Art Munson, Alexandru Niculescu-Mizil: Getting the Most Out of Ensemble Selection - Cornell University TR2006-2045, 2006. Full-length version of the ICDM `06 paper.
  • Rich Caruana, Alexandru Niculescu-Mizil: An Empirical Comparison of Supervised Learning Algorithms Using Different Performance Metrics - Cornell University TR2005-1973, 2005.

• Cornell CS & friends ice hockey.
• My ex-office mates ( Eric , Jeff and Filip ).

• The cleaning services business of my friend Andrei.
• Octavian's venture into electronic commerce