Rich Caruana

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Alexandru Niculescu-MizilNEC Laboratories AmericaDirección de correo verificada de nec-labs.com
Harsha NoriMicrosoft ResearchDirección de correo verificada de microsoft.com
Yin LouEngineer, Ant GroupDirección de correo verificada de cs.cornell.edu
Ben LengerichUniversity of Wisconsin-MadisonDirección de correo verificada de wisc.edu
Paul KochMicrosoft ResearchDirección de correo verificada de microsoft.com
Johannes GehrkeMicrosoftDirección de correo verificada de microsoft.com
Giles HookerProfessor of Statistics, University of PennsylvaniaDirección de correo verificada de wharton.upenn.edu
J. David Schafferbinghamton universityDirección de correo verificada de binghamton.edu
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Sarah TanSalesforce / Cornell UniversityDirección de correo verificada de cornell.edu
Eric HorvitzMicrosoftDirección de correo verificada de microsoft.com
Mirek RiedewaldAssociate Professor of Computer Science, Northeastern UniversityDirección de correo verificada de ccs.neu.edu
Dayne FreitagProgram Director, SRI InternationalDirección de correo verificada de ai.sri.com
Dale DurranProfessor of Atmospheric Sciences, University of WashingtonDirección de correo verificada de uw.edu
Engin IpekDistinguished Member of Technical Staff, MicronDirección de correo verificada de cs.rochester.edu
Wesley HochachkaSenior Research Associate, Lab of Ornithology, Cornell UniversityDirección de correo verificada de cornell.edu
Ece KamarMicrosoft ResearchDirección de correo verificada de microsoft.com
M. Arthur MunsonSandia National LabsDirección de correo verificada de esentire.com
Jonathan A. WeynDepartment of Atmospheric Sciences, University of WashingtonDirección de correo verificada de uw.edu
Noémie ElhadadAssociate Professor and Chair of Biomedical Informatics, Columbia UniversityDirección de correo verificada de cumc.columbia.edu

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Rich Caruana

Microsoft Research

Dirección de correo verificada de microsoft.com

machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Multitask learning R Caruana Machine learning 28, 41-75, 1997	10788	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	4024	2006
Model compression C Buciluǎ, R Caruana, A Niculescu-Mizil Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	3182	2006
Do deep nets really need to be deep? J Ba, R Caruana Advances in neural information processing systems 27, 2014	2738	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	2291	2015
Predicting good probabilities with supervised learning A Niculescu-Mizil, R Caruana Proceedings of the 22nd international conference on Machine learning, 625-632, 2005	2072	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	1688	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	1546	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	1196	2004
Greedy attribute selection R Caruana, D Freitag Machine Learning Proceedings 1994, 28-36, 1994	879	1994
Removing the genetics from the standard genetic algorithm S Baluja, R Caruana Machine Learning Proceedings 1995, 38-46, 1995	871	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	778	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	702	2013
Intelligible models for classification and regression Y Lou, R Caruana, J Gehrke Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	698	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	654	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	631	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	533	2021

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