Carlos Guestrin

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Tianqi ChenCarnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichPatvirtintas el. paštas inf.ethz.ch
Sameer SinghProfessor, UC Irvine | CTO, Spiffy AIPatvirtintas el. paštas uci.edu
Marco Tulio RibeiroGoogle DeepMindPatvirtintas el. paštas cs.washington.edu
Joseph HellersteinJim Gray Professor of the Graduate School, UC BerkeleyPatvirtintas el. paštas berkeley.edu
Danny BicksonSr. Manager, ApplePatvirtintas el. paštas cs.cmu.edu
Aapo KyrolaPh.D (Carnegie Mellon University, 2014)Patvirtintas el. paštas cs.cmu.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Samuel MaddenMITPatvirtintas el. paštas csail.mit.edu
Daphne KollerCEO and Founder, insitroPatvirtintas el. paštas insitro.com
Arvind KrishnamurthyShort-Dooley Professor, Univ. of WashingtonPatvirtintas el. paštas cs.washington.edu
Luis CezeProfessor of Computer Science and Engineering, University of WashingtonPatvirtintas el. paštas cs.washington.edu
Christos FaloutsosCMUPatvirtintas el. paštas cs.cmu.edu
Dafna ShahafAssociate Professor of Computer Science, The Hebrew University of JerusalemPatvirtintas el. paštas cs.huji.ac.il
Emily B. FoxStanford UniversityPatvirtintas el. paštas stanford.edu
Ben TaskarUniversity of WashingtonPatvirtintas el. paštas cs.washington.edu
Mark PaskinGooglePatvirtintas el. paštas google.com
Jeanne M. VanBriesenDepartment of Civil and Environmental Engineering at Carnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Ronald ParrProfessor of Computer Science, Duke UniversityPatvirtintas el. paštas cs.duke.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityPatvirtintas el. paštas cs.cornell.edu

Stebėti

Carlos Guestrin

Professor, Stanford University

Patvirtintas el. paštas stanford.edu - Pagrindinis puslapis

Machine Learning Distributed Systems Artificial Intelligence Parallel Algorithms Sensor Networks


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Xgboost: A scalable tree boosting system T Chen, C Guestrin Proceedings of the 22nd acm sigkdd international conference on knowledge …, 2016	51403	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	21919	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	3225	2007
Anchors: High-precision model-agnostic explanations MT Ribeiro, S Singh, C Guestrin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	2682	2018
{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	2551	2012
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	2506	2012
Stanford alpaca: An instruction-following llama model R Taori, I Gulrajani, T Zhang, Y Dubois, X Li, C Guestrin, P Liang, ...	2358	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	2087	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	2058	2008
Max-margin Markov networks B Taskar, C Guestrin, D Koller Advances in neural information processing systems 16, 2003	1817	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	1610	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	1525	2012
Model-agnostic interpretability of machine learning MT Ribeiro, S Singh, C Guestrin arXiv preprint arXiv:1606.05386, 2016	1323	2016
Beyond accuracy: Behavioral testing of NLP models with CheckList MT Ribeiro, T Wu, C Guestrin, S Singh arXiv preprint arXiv:2005.04118, 2020	1166	2020
Stochastic gradient hamiltonian monte carlo T Chen, E Fox, C Guestrin International conference on machine learning, 1683-1691, 2014	1159	2014
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	1122	2014
Training deep nets with sublinear memory cost T Chen, B Xu, C Zhang, C Guestrin arXiv preprint arXiv:1604.06174, 2016	1112	2016
Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining T Chen, C Guestrin ACM, 2016	1110	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	710	2008
Efficient solution algorithms for factored MDPs C Guestrin, D Koller, R Parr, S Venkataraman Journal of Artificial Intelligence Research 19, 399-468, 2003	706	2003

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