Alexandru Niculescu-Mizil

37 papers A* 13A 4Misc 1Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MCTR: Multi Camera Tracking Transformer. WACV (Workshops) Alexandru Niculescu-Mizil, Deep Patel, Iain Melvin
2024	J	`jnl`	MCTR: Multi Camera Tracking Transformer. CoRR Alexandru Niculescu-Mizil, Deep Patel, Iain Melvin
2021	A*	`conf`	Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. ICLR Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf
2021	J	`jnl`	Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. CoRR Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf
2020	J	`jnl`	Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction. CoRR Shuchu Han, Alexandru Niculescu-Mizil
2017	A	`conf`	Label Filters for Large Scale Multilabel Classification. AISTATS Alexandru Niculescu-Mizil, Ehsan Abbasnejad
2017	—	`conf`	On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models. NIPS Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep Ravikumar
2014	A	`conf`	Feature combination with Multi-Kernel Learning for fine-grained visual classification. WACV Anelia Angelova, Alexandru Niculescu-Mizil
2014	J	`jnl`	Modeling and analytics for cyber-physical systems in the age of big data. SIGMETRICS Perform. Evaluation Rev. Abhishek B. Sharma, Franjo Ivancic, Alexandru Niculescu-Mizil, Haifeng Chen, Guofei Jiang
2013	—	`ch.`	Climate Informatics. Computational Intelligent Data Analysis for Sustainable Development Claire Monteleoni, Gavin A. Schmidt, Francis J. Alexander, Alexandru Niculescu-Mizil, Karsten Steinhaeuser, Michael K. Tippett, Arindam Banerjee, M. Benno Blumenthal, Auroop R. Ganguly, Jason E. Smerdon, Marco Tedesco
2013	J	`jnl`	Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis. CoRR Diane Oyen, Alexandru Niculescu-Mizil, Rachel Ostroff, Alex Stewart, Vincent P. Clark
2013	Misc	`conf`	Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls. AMIA Chris Paxton, Suchi Saria, Alexandru Niculescu-Mizil
2012	A*	`conf`	A Binary Classification Framework for Two-Stage Multiple Kernel Learning. ICML Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daumé III
2012	—	`conf`	Bayesian models for Large-scale Hierarchical Classification. NIPS Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil
2012	—	`conf`	Inductive Transfer for Bayesian Network Structure Learning. ICML Unsupervised and Transfer Learning Alexandru Niculescu-Mizil, Rich Caruana
2012	J	`jnl`	Obtaining Calibrated Probabilities from Boosting CoRR Alexandru Niculescu-Mizil, Rich Caruana
2011	J	`jnl`	Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery. J. Bioinform. Comput. Biol. Yan Liu, Alexandru Niculescu-Mizil, Aurélie C. Lozano, Yong Lu
2010	A*	`conf`	Learning Temporal Causal Graphs for Relational Time-Series Analysis. ICML Yan Liu, Alexandru Niculescu-Mizil, Aurélie C. Lozano, Yong Lu
2010	J	`jnl`	Regret bounds for sleeping experts and bandits. Mach. Learn. Robert Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma
2009	A*	`conf`	Spatial-temporal causal modeling for climate change attribution. KDD Aurélie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe
2009	A*	`conf`	Topic-link LDA: joint models of topic and author community. ICML Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc
2009	—	`conf`	Winning the KDD Cup Orange Challenge with Ensemble Selection. KDD Cup 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
2008	—	`—`	Getting the Most out of your Data: Multitask Bayesian Network Structure Learning, Predicting Good Probabilities and Ensemble Selection. Alexandru Niculescu-Mizil
2008	A*	`conf`	Regret Bounds for Sleeping Experts and Bandits. COLT Robert D. Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma
2007	—	`conf`	Classifier Loss Under Metric Uncertainty. ECML David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana
2007	A	`conf`	Inductive Transfer for Bayesian Network Structure Learning. AISTATS Alexandru Niculescu-Mizil, Rich Caruana
2007	A*	`conf`	Learning Graphical Model Structure Using L1-Regularization Paths. AAAI Mark Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy
2007	J	`jnl`	PAV and the ROC convex hull. Mach. Learn. Tom Fawcett, Alexandru Niculescu-Mizil
2006	A*	`conf`	An empirical comparison of supervised learning algorithms. ICML Rich Caruana, Alexandru Niculescu-Mizil
2006	A*	`conf`	Getting the Most Out of Ensemble Selection. ICDM Rich Caruana, Art Munson, Alexandru Niculescu-Mizil
2006	A*	`conf`	Model compression. KDD Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil
2005	A	`conf`	Obtaining Calibrated Probabilities from Boosting. UAI Alexandru Niculescu-Mizil, Rich Caruana
2005	A*	`conf`	Predicting good probabilities with supervised learning. ICML Alexandru Niculescu-Mizil, Rich Caruana
2004	—	`conf`	An Empirical Evaluation of Supervised Learning for ROC Area. ROCAI Rich Caruana, Alexandru Niculescu-Mizil
2004	—	`conf`	Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria. ROCAI Rich Caruana, Alexandru Niculescu-Mizil
2004	A*	`conf`	Data mining in metric space: an empirical analysis of supervised learning performance criteria. KDD Rich Caruana, Alexandru Niculescu-Mizil
2004	A*	`conf`	Ensemble selection from libraries of models. ICML Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes