Ensemble selection from libraries of models. - Rich Caruana; Alexandru Niculescu-Mizil; Geoff Crew; Alex Ksikes (ICML, 2004)

Data mining in metric space: an empirical analysis of supervised learning performance criteria. - Rich Caruana; Alexandru Niculescu-Mizil (KDD, 2004)

An Empirical Evaluation of Supervised Learning for ROC Area. - Rich Caruana; Alexandru Niculescu-Mizil (ROCAI, 2004)

Predicting good probabilities with supervised learning. - Alexandru Niculescu-Mizil; Rich Caruana (ICML, 2005)

Obtaining Calibrated Probabilities from Boosting. - Alexandru Niculescu-Mizil; Rich Caruana (UAI, 2005)

Getting the Most Out of Ensemble Selection. - Rich Caruana; Art Munson; Alexandru Niculescu-Mizil (ICDM, 2006)

An empirical comparison of supervised learning algorithms. - Rich Caruana; Alexandru Niculescu-Mizil (ICML, 2006)

Model compression. - Cristian Bucila; Rich Caruana; Alexandru Niculescu-Mizil (KDD, 2006)

Learning Graphical Model Structure Using L1-Regularization Paths. - Mark Schmidt 001; Alexandru Niculescu-Mizil; Kevin P. Murphy (AAAI, 2007)

Classifier Loss Under Metric Uncertainty. - David B. Skalak; Alexandru Niculescu-Mizil; Rich Caruana (ECML, 2007)

PAV and the ROC convex hull. - Tom Fawcett; Alexandru Niculescu-Mizil (Mach. Learn., 2007)

Getting the Most out of your Data: Multitask Bayesian Network Structure Learning, Predicting Good Probabilities and Ensemble Selection. - Alexandru Niculescu-Mizil (2008)

Topic-link LDA: joint models of topic and author community. - Yan Liu 002; Alexandru Niculescu-Mizil; Wojciech Gryc (ICML, 2009)

Spatial-temporal causal modeling for climate change attribution. - Aurélie C. Lozano; Hongfei Li; Alexandru Niculescu-Mizil; Yan Liu 002; Claudia Perlich; Jonathan R. M. Hosking; Naoki Abe (KDD, 2009)

Winning the KDD Cup Orange Challenge with Ensemble Selection. - Alexandru Niculescu-Mizil; Claudia Perlich; Grzegorz Swirszcz; Vikas Sindhwani; Yan Liu 002; Prem Melville; Dong Wang; Jing Xiao; Jianying Hu; Moninder Singh; Wei Xiong Shang; Yanfeng Zhu 001 (KDD Cup, 2009)

Learning Temporal Causal Graphs for Relational Time-Series Analysis. - Yan Liu 002; Alexandru Niculescu-Mizil; Aurélie C. Lozano; Yong Lu (ICML, 2010)

Regret bounds for sleeping experts and bandits. - Robert Kleinberg; Alexandru Niculescu-Mizil; Yogeshwer Sharma (Mach. Learn., 2010)

Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery. - Yan Liu 002; Alexandru Niculescu-Mizil; Aurélie C. Lozano; Yong Lu (J. Bioinform. Comput. Biol., 2011)

A Binary Classification Framework for Two-Stage Multiple Kernel Learning. - Abhishek Kumar 001; Alexandru Niculescu-Mizil; Koray Kavukcuoglu; Hal Daumé III (ICML, 2012)

Bayesian models for Large-scale Hierarchical Classification. - Siddharth Gopal; Yiming Yang; Bing Bai; Alexandru Niculescu-Mizil (NIPS, 2012)

Inductive Transfer for Bayesian Network Structure Learning. - Alexandru Niculescu-Mizil; Rich Caruana (ICML Unsupervised and Transfer Learning, 2012)

Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls. - Chris Paxton 001; Suchi Saria; Alexandru Niculescu-Mizil (AMIA, 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)

Feature combination with Multi-Kernel Learning for fine-grained visual classification. - Anelia Angelova; Alexandru Niculescu-Mizil (WACV, 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)

Label Filters for Large Scale Multilabel Classification. - Alexandru Niculescu-Mizil; Ehsan Abbasnejad (AISTATS, 2017)

On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models. - Adarsh Prasad; Alexandru Niculescu-Mizil; Pradeep Ravikumar (NIPS, 2017)

Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction. - Shuchu Han; Alexandru Niculescu-Mizil (CoRR, 2020)

Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. - Honglu Zhou; Asim Kadav; Farley Lai; Alexandru Niculescu-Mizil; Martin Renqiang Min; Mubbasir Kapadia; Hans Peter Graf (ICLR, 2021)

MCTR: Multi Camera Tracking Transformer. - Alexandru Niculescu-Mizil; Deep Patel; Iain Melvin (WACV (Workshops), 2025)