Alexandru Niculescu-Mizil

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 5

Top Topics

Kernel Learning

Bayesian Network Structure Learning

Multilabel Classification

Top Venues

SIGMETRICS Perform. Evaluation Rev.

Publications

Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. ICLR (2021)
Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. CoRR (2021)
Shuchu Han, Alexandru Niculescu-Mizil
Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction. CoRR (2020)
Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep Ravikumar
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models. NIPS (2017)
Alexandru Niculescu-Mizil, Ehsan Abbasnejad
Label Filters for Large Scale Multilabel Classification. AISTATS (2017)
Anelia Angelova, Alexandru Niculescu-Mizil
Feature combination with Multi-Kernel Learning for fine-grained visual classification. WACV (2014)
Abhishek B. Sharma, Franjo Ivancic, Alexandru Niculescu-Mizil, Haifeng Chen, Guofei Jiang
Modeling and analytics for cyber-physical systems in the age of big data. SIGMETRICS Perform. Evaluation Rev. 41 (4) (2014)
Chris Paxton, Suchi Saria, Alexandru Niculescu-Mizil
Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls. AMIA (2013)
Diane Oyen, Alexandru Niculescu-Mizil, Rachel Ostroff, Alex Stewart, Vincent P. Clark
Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis. CoRR (2013)
Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil
Bayesian models for Large-scale Hierarchical Classification. NIPS (2012)
Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daumé III
A Binary Classification Framework for Two-Stage Multiple Kernel Learning. ICML (2012)
Alexandru Niculescu-Mizil, Rich Caruana
Inductive Transfer for Bayesian Network Structure Learning. ICML Unsupervised and Transfer Learning (2012)
Alexandru Niculescu-Mizil, Rich Caruana
Obtaining Calibrated Probabilities from Boosting CoRR (2012)
Yan Liu, Alexandru Niculescu-Mizil, Aurelie C. Lozano, Yong Lu
Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery. J. Bioinform. Comput. Biol. 9 (2) (2011)
Yan Liu, Alexandru Niculescu-Mizil, Aurelie C. Lozano, Yong Lu
Learning Temporal Causal Graphs for Relational Time-Series Analysis. ICML (2010)
Robert Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma
Regret bounds for sleeping experts and bandits. Mach. Learn. 80 (2-3) (2010)
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)
Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc
Topic-link LDA: joint models of topic and author community. ICML (2009)
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
Winning the KDD Cup Orange Challenge with Ensemble Selection. KDD Cup (2009)
Robert D. Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma
Regret Bounds for Sleeping Experts and Bandits. COLT (2008)
Tom Fawcett, Alexandru Niculescu-Mizil
PAV and the ROC convex hull. Mach. Learn. 68 (1) (2007)
Mark Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy
Learning Graphical Model Structure Using L1-Regularization Paths. AAAI (2007)
David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana
Classifier Loss Under Metric Uncertainty. ECML (2007)
Alexandru Niculescu-Mizil, Rich Caruana
Inductive Transfer for Bayesian Network Structure Learning. AISTATS (2007)
Rich Caruana, Art Munson, Alexandru Niculescu-Mizil
Getting the Most Out of Ensemble Selection. ICDM (2006)
Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil
Model compression. KDD (2006)
Rich Caruana, Alexandru Niculescu-Mizil
An empirical comparison of supervised learning algorithms. ICML (2006)
Alexandru Niculescu-Mizil, Rich Caruana
Predicting good probabilities with supervised learning. ICML (2005)
Alexandru Niculescu-Mizil, Rich Caruana
Obtaining Calibrated Probabilities from Boosting. UAI (2005)
Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes
Ensemble selection from libraries of models. ICML (2004)
Rich Caruana, Alexandru Niculescu-Mizil
An Empirical Evaluation of Supervised Learning for ROC Area. ROCAI (2004)
Rich Caruana, Alexandru Niculescu-Mizil
Data mining in metric space: an empirical analysis of supervised learning performance criteria. KDD (2004)
Rich Caruana, Alexandru Niculescu-Mizil
Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria. ROCAI (2004)