Carlos Guestrin

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Tianqi ChenCarnegie Mellon UniversityDirección de correo verificada de cmu.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichDirección de correo verificada de inf.ethz.ch
Sameer SinghAssociate Professor, UC IrvineDirección de correo verificada de uci.edu
Marco Tulio RibeiroGoogle DeepMindDirección de correo verificada de cs.washington.edu
Joseph HellersteinJim Gray Professor of the Graduate School, UC BerkeleyDirección de correo verificada de berkeley.edu
Danny BicksonSr. Manager, AppleDirección de correo verificada de cs.cmu.edu
Aapo KyrolaPh.D (Carnegie Mellon University, 2014)Dirección de correo verificada de cs.cmu.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Samuel MaddenMITDirección de correo verificada de csail.mit.edu
Daphne KollerCEO and Founder, insitroDirección de correo verificada de insitro.com
Arvind KrishnamurthyShort-Dooley Professor, Univ. of WashingtonDirección de correo verificada de cs.washington.edu
Luis CezeProfessor of Computer Science and Engineering, University of WashingtonDirección de correo verificada de cs.washington.edu
Christos FaloutsosCMUDirección de correo verificada de cs.cmu.edu
Dafna ShahafAssociate Professor of Computer Science, The Hebrew University of JerusalemDirección de correo verificada de cs.huji.ac.il
Ben TaskarUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Mark PaskinGoogleDirección de correo verificada de google.com
Emily B. FoxStanford UniversityDirección de correo verificada de stanford.edu
Jeanne M. VanBriesenDepartment of Civil and Environmental Engineering at Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Ronald ParrProfessor of Computer Science, Duke UniversityDirección de correo verificada de cs.duke.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityDirección de correo verificada de cs.cornell.edu

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Carlos Guestrin

Professor, Stanford University

Dirección de correo verificada de stanford.edu - Página principal

Machine Learning Distributed Systems Artificial Intelligence Parallel Algorithms Sensor Networks


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Xgboost: A scalable tree boosting system T Chen, C Guestrin Proceedings of the 22nd acm sigkdd international conference on knowledge …, 2016	44984	2016
" Why should i trust you?" Explaining the predictions of any classifier MT Ribeiro, S Singh, C Guestrin Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	19657	2016
Cost-effective outbreak detection in networks J Leskovec, A Krause, C Guestrin, C Faloutsos, J VanBriesen, N Glance Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	3162	2007
Distributed graphlab: A framework for machine learning in the cloud Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein arXiv preprint arXiv:1204.6078, 2012	2517	2012
{PowerGraph}: Distributed {Graph-Parallel} computation on natural graphs JE Gonzalez, Y Low, H Gu, D Bickson, C Guestrin 10th USENIX symposium on operating systems design and implementation (OSDI …, 2012	2506	2012
Anchors: High-precision model-agnostic explanations MT Ribeiro, S Singh, C Guestrin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	2476	2018
Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies. A Krause, A Singh, C Guestrin Journal of Machine Learning Research 9 (2), 2008	2010	2008
Stanford alpaca: An instruction-following llama model R Taori, I Gulrajani, T Zhang, Y Dubois, X Li, C Guestrin, P Liang, ...	1894	2023
{TVM}: An automated {End-to-End} optimizing compiler for deep learning T Chen, T Moreau, Z Jiang, L Zheng, E Yan, H Shen, M Cowan, L Wang, ... 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018	1880	2018
Max-margin Markov networks B Taskar, C Guestrin, D Koller Advances in neural information processing systems 16, 2003	1809	2003
Model-driven data acquisition in sensor networks A Deshpande, C Guestrin, SR Madden, JM Hellerstein, W Hong Proceedings of the Thirtieth international conference on Very large data …, 2004	1611	2004
{GraphChi}:{Large-Scale} graph computation on just a {PC} A Kyrola, G Blelloch, C Guestrin 10th USENIX symposium on operating systems design and implementation (OSDI …, 2012	1501	2012
Model-agnostic interpretability of machine learning MT Ribeiro, S Singh, C Guestrin arXiv preprint arXiv:1606.05386, 2016	1242	2016
Graphlab: A new framework for parallel machine learning Y Low, JE Gonzalez, A Kyrola, D Bickson, CE Guestrin, J Hellerstein arXiv preprint arXiv:1408.2041, 2014	1119	2014
Stochastic gradient hamiltonian monte carlo T Chen, E Fox, C Guestrin International conference on machine learning, 1683-1691, 2014	1087	2014
Beyond accuracy: Behavioral testing of NLP models with CheckList MT Ribeiro, T Wu, C Guestrin, S Singh arXiv preprint arXiv:2005.04118, 2020	1074	2020
Training deep nets with sublinear memory cost T Chen, B Xu, C Zhang, C Guestrin arXiv preprint arXiv:1604.06174, 2016	1000	2016
The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms A Ostfeld, JG Uber, E Salomons, JW Berry, WE Hart, CA Phillips, ... Journal of water resources planning and management 134 (6), 556-568, 2008	690	2008
Efficient solution algorithms for factored MDPs C Guestrin, D Koller, R Parr, S Venkataraman Journal of Artificial Intelligence Research 19, 399-468, 2003	689	2003
Learning structured prediction models: A large margin approach B Taskar, V Chatalbashev, D Koller, C Guestrin Proceedings of the 22nd international conference on Machine learning, 896-903, 2005	684	2005

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