Rich Caruana

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Alexandru Niculescu-MizilNEC Laboratories AmericaVerified email at nec-labs.com
Harsha NoriMicrosoft ResearchVerified email at microsoft.com
Yin LouEngineer, Ant GroupVerified email at cs.cornell.edu
Ben LengerichUniversity of Wisconsin-MadisonVerified email at wisc.edu
Paul KochMicrosoft ResearchVerified email at microsoft.com
Giles HookerProfessor of Statistics, University of PennsylvaniaVerified email at wharton.upenn.edu
Johannes GehrkeMicrosoftVerified email at microsoft.com
J. David Schafferbinghamton universityVerified email at binghamton.edu
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Sarah TanSalesforce / Cornell UniversityVerified email at cornell.edu
Eric HorvitzMicrosoftVerified email at microsoft.com
Mirek RiedewaldAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Dayne FreitagProgram Director, SRI InternationalVerified email at ai.sri.com
Dale DurranProfessor of Atmospheric Sciences, University of WashingtonVerified email at uw.edu
Engin IpekDistinguished Member of Technical Staff, MicronVerified email at cs.rochester.edu
Wesley HochachkaSenior Research Associate, Lab of Ornithology, Cornell UniversityVerified email at cornell.edu
Ece KamarMicrosoft ResearchVerified email at microsoft.com
M. Arthur MunsonSandia National LabsVerified email at esentire.com
Jonathan A. WeynDepartment of Atmospheric Sciences, University of WashingtonVerified email at uw.edu
Noémie ElhadadAssociate Professor and Chair of Biomedical Informatics, Columbia UniversityVerified email at cumc.columbia.edu

Rich Caruana

Microsoft Research

Verified email at microsoft.com

machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multitask learning R Caruana Machine learning 28, 41-75, 1997	10902	1997
An empirical comparison of supervised learning algorithms R Caruana, A Niculescu-Mizil Proceedings of the 23rd international conference on Machine learning, 161-168, 2006	4022	2006
Model compression C Buciluǎ, R Caruana, A Niculescu-Mizil Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	3230	2006
Do deep nets really need to be deep? J Ba, R Caruana Advances in neural information processing systems 27, 2014	2756	2014
Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission R Caruana, Y Lou, J Gehrke, P Koch, M Sturm, N Elhadad Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	2317	2015
Predicting good probabilities with supervised learning A Niculescu-Mizil, R Caruana Proceedings of the 22nd international conference on Machine learning, 625-632, 2005	2092	2005
Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping R Caruana, S Lawrence, C Giles Advances in neural information processing systems 13, 2000	1706	2000
A study of control parameters affecting online performance of genetic algorithms for function optimization JD Schaffer, R Caruana, LJ Eshelman, R Das Proceedings of the 3rd international conference on genetic algorithms, 51-60, 1989	1542	1989
Ensemble selection from libraries of models R Caruana, A Niculescu-Mizil, G Crew, A Ksikes Proceedings of the twenty-first international conference on Machine learning, 18, 2004	1220	2004
Greedy attribute selection R Caruana, D Freitag Machine Learning Proceedings 1994, 28-36, 1994	883	1994
Removing the genetics from the standard genetic algorithm S Baluja, R Caruana Machine Learning Proceedings 1995, 38-46, 1995	879	1995
An empirical evaluation of supervised learning in high dimensions R Caruana, N Karampatziakis, A Yessenalina Proceedings of the 25th international conference on Machine learning, 96-103, 2008	783	2008
Accurate intelligible models with pairwise interactions Y Lou, R Caruana, J Gehrke, G Hooker Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	708	2013
Intelligible models for classification and regression Y Lou, R Caruana, J Gehrke Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	707	2012
Biases in the crossover landscape LJ Eshelman, RA Caruana, JD Schaffer Proceedings of the third international conference on Genetic algorithms, 10-19, 1989	706	1989
Interpretml: A unified framework for machine learning interpretability H Nori, S Jenkins, P Koch, R Caruana arXiv preprint arXiv:1909.09223, 2019	677	2019
Experience with a learning personal assistant TM Mitchell, R Caruana, D Freitag, J McDermott, D Zabowski Communications of the ACM 37 (7), 80-91, 1994	670	1994
Self-optimizing memory controllers: A reinforcement learning approach E Ipek, O Mutlu, JF Martínez, R Caruana ACM SIGARCH Computer Architecture News 36 (3), 39-50, 2008	656	2008
Interpreting interpretability: understanding data scientists' use of interpretability tools for machine learning H Kaur, H Nori, S Jenkins, R Caruana, H Wallach, J Wortman Vaughan Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020	650	2020
Neural additive models: Interpretable machine learning with neural nets R Agarwal, L Melnick, N Frosst, X Zhang, B Lengerich, R Caruana, ... Advances in neural information processing systems 34, 4699-4711, 2021	558	2021

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