Alexandru Niculescu-Mizil

According to our database1, Alexandru Niculescu-Mizil authored at least 30 papers between 2004 and 2017.

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Bibliography

2017
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Label Filters for Large Scale Multilabel Classification.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2014
Modeling and analytics for cyber-physical systems in the age of big data.
SIGMETRICS Performance Evaluation Review, 2014

Feature combination with Multi-Kernel Learning for fine-grained visual classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2013
Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis.
CoRR, 2013

Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls.
Proceedings of the AMIA 2013, 2013

2012
Inductive Transfer for Bayesian Network Structure Learning.
Proceedings of the Unsupervised and Transfer Learning, 2012

Obtaining Calibrated Probabilities from Boosting
CoRR, 2012

Bayesian models for Large-scale Hierarchical Classification.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Binary Classification Framework for Two-Stage Multiple Kernel Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery.
J. Bioinformatics and Computational Biology, 2011

2010
Regret bounds for sleeping experts and bandits.
Machine Learning, 2010

Learning Temporal Causal Graphs for Relational Time-Series Analysis.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Winning the KDD Cup Orange Challenge with Ensemble Selection.
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Spatial-temporal causal modeling for climate change attribution.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Topic-link LDA: joint models of topic and author community.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Regret Bounds for Sleeping Experts and Bandits.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007
PAV and the ROC convex hull.
Machine Learning, 2007

Inductive Transfer for Bayesian Network Structure Learning.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Classifier Loss Under Metric Uncertainty.
Proceedings of the Machine Learning: ECML 2007, 2007

Learning Graphical Model Structure Using L1-Regularization Paths.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Model compression.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

An empirical comparison of supervised learning algorithms.
Proceedings of the Machine Learning, 2006

Getting the Most Out of Ensemble Selection.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Obtaining Calibrated Probabilities from Boosting.
Proceedings of the UAI '05, 2005

Predicting good probabilities with supervised learning.
Proceedings of the Machine Learning, 2005

2004
Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

An Empirical Evaluation of Supervised Learning for ROC Area.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

Data mining in metric space: an empirical analysis of supervised learning performance criteria.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Ensemble selection from libraries of models.
Proceedings of the Machine Learning, 2004


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