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 am a researcher in the Machine Learning Department at NEC Labs America.

Publications:

Edited Books:
- Irina Rish, Guillermo A. Cecchi, Aurelie Lozano, Alexandru Niculescu-Mizil, eds. : Practical Applications of Sparse Modeling - The MIT Press (2014).
Book Chapters:
- C. Monteleoni et al. : Climate Informatics - in Computational Intelligent Data Analysis for Sustainable Development; Data Mining and Knowledge Discovery Series. Yu, T., Chawla, N., and Simoff, S. (Eds.), CRC Press, Taylor & Francis Group. Chapter 4, pp. 81-126, 2013.
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:
- Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep Ravikumar: On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models - Proceedings of the 30th Neural Information Processing Systems (NIPS `17).
- Alexandru Niculescu-Mizil, Ehsan Abbasnejad: Label Filters for Large Scale Multilabel Classification - Proceedings of the 20th International Conference on AI and Statistics (AISTATS `17) [ Code ].
- A. Angelova, A. Niculescu-Mizil. Feature Combination with Multi-Kernel Learning for Fine-Grained Visual Classification - IEEE Winter Conference on Applications of Computer Vision(WACV 14).
- C. Paxton, A. Niculescu-Mizil, S. Saria. Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls - American Medical Informatics Association, 2013.
- 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.

My Romanian Friends:

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