Alexandru Niculescu-Mizil

According to our database, Alexandru Niculescu-Mizil authored at least 30 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MCTR: Multi Camera Tracking Transformer.

Alexandru Niculescu-Mizil, Deep Patel, Iain Melvin

CoRR, 2024

2021

Hopper: Multi-hop Transformer for Spatiotemporal Reasoning.

Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction.

Shuchu Han, Alexandru Niculescu-Mizil

CoRR, 2020

2017

On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models.

Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep Ravikumar

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.

Alexandru Niculescu-Mizil, Ehsan Abbasnejad

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.

Abhishek B. Sharma, Franjo Ivancic, Alexandru Niculescu-Mizil, Haifeng Chen, Guofei Jiang

SIGMETRICS Perform. Evaluation Rev., 2014

Feature combination with Multi-Kernel Learning for fine-grained visual classification.

Anelia Angelova, Alexandru Niculescu-Mizil

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2013

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

Diane Oyen, Alexandru Niculescu-Mizil, Rachel Ostroff, Alex Stewart, Vincent P. Clark

CoRR, 2013

Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls.

Chris Paxton, Suchi Saria, Alexandru Niculescu-Mizil

Proceedings of the AMIA 2013, 2013

2012

Inductive Transfer for Bayesian Network Structure Learning.

Alexandru Niculescu-Mizil, Rich Caruana

Proceedings of the Unsupervised and Transfer Learning, 2012

Bayesian models for Large-scale Hierarchical Classification.

Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil

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.

Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daumé III

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery.

Yan Liu, Alexandru Niculescu-Mizil, Aurélie C. Lozano, Yong Lu

J. Bioinform. Comput. Biol., 2011

2010

Regret bounds for sleeping experts and bandits.

Robert Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma

Mach. Learn., 2010

Learning Temporal Causal Graphs for Relational Time-Series Analysis.

Yan Liu, Alexandru Niculescu-Mizil, Aurélie C. Lozano, Yong Lu

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

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, Yanfeng Zhu

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Spatial-temporal causal modeling for climate change attribution.

Aurélie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe

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.

Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Getting the Most out of your Data: Multitask Bayesian Network Structure Learning, Predicting Good Probabilities and Ensemble Selection.

Alexandru Niculescu-Mizil

PhD thesis, 2008

2007

PAV and the ROC convex hull.

Tom Fawcett, Alexandru Niculescu-Mizil

Mach. Learn., 2007

Classifier Loss Under Metric Uncertainty.

David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana

Proceedings of the Machine Learning: ECML 2007, 2007

Learning Graphical Model Structure Using L1-Regularization Paths.

Mark Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Model compression.

Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil

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

An empirical comparison of supervised learning algorithms.

Rich Caruana, Alexandru Niculescu-Mizil

Proceedings of the Machine Learning, 2006

Getting the Most Out of Ensemble Selection.

Rich Caruana, Art Munson, Alexandru Niculescu-Mizil

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Obtaining Calibrated Probabilities from Boosting.

Alexandru Niculescu-Mizil, Rich Caruana

Proceedings of the UAI '05, 2005

Predicting good probabilities with supervised learning.

Alexandru Niculescu-Mizil, Rich Caruana

Proceedings of the Machine Learning, 2005

2004

An Empirical Evaluation of Supervised Learning for ROC Area.

Rich Caruana, Alexandru Niculescu-Mizil

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.

Rich Caruana, Alexandru Niculescu-Mizil

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Ensemble selection from libraries of models.

Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes

Proceedings of the Machine Learning, 2004