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
Johannes GehrkeMicrosoftVerified email at microsoft.com
Giles HookerProfessor of Statistics, University of PennsylvaniaVerified email at wharton.upenn.edu
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 IpekPrincipal Engineer, Samsung SARC/ACLVerified 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	10727	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	4008	2006
Model compression C Buciluǎ, R Caruana, A Niculescu-Mizil Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	3165	2006
Do deep nets really need to be deep? J Ba, R Caruana Advances in neural information processing systems 27, 2014	2728	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	2265	2015
Predicting good probabilities with supervised learning A Niculescu-Mizil, R Caruana Proceedings of the 22nd international conference on Machine learning, 625-632, 2005	2053	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	1678	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	1544	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	1189	2004
Greedy attribute selection R Caruana, D Freitag Machine Learning Proceedings 1994, 28-36, 1994	876	1994
Removing the genetics from the standard genetic algorithm S Baluja, R Caruana Machine Learning Proceedings 1995, 38-46, 1995	868	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	776	2008
Biases in the crossover landscape LJ Eshelman, RA Caruana, JD Schaffer Proceedings of the third international conference on Genetic algorithms, 10-19, 1989	707	1989
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	693	2013
Intelligible models for classification and regression Y Lou, R Caruana, J Gehrke Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	692	2012
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	663	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
Interpretml: A unified framework for machine learning interpretability H Nori, S Jenkins, P Koch, R Caruana arXiv preprint arXiv:1909.09223, 2019	648	2019
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	628	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	522	2021

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