Seuraa
Carlos Guestrin
Carlos Guestrin
Professor, Stanford University
Vahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Xgboost: A scalable tree boosting system
T Chen, C Guestrin
Proceedings of the 22nd acm sigkdd international conference on knowledge …, 2016
449982016
" 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
196252016
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
31622007
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
25172012
{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
25062012
Anchors: High-precision model-agnostic explanations
MT Ribeiro, S Singh, C Guestrin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
24762018
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
20102008
Stanford alpaca: An instruction-following llama model
R Taori, I Gulrajani, T Zhang, Y Dubois, X Li, C Guestrin, P Liang, ...
18932023
{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
18792018
Max-margin Markov networks
B Taskar, C Guestrin, D Koller
Advances in neural information processing systems 16, 2003
18092003
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
16112004
{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
15002012
Model-agnostic interpretability of machine learning
MT Ribeiro, S Singh, C Guestrin
arXiv preprint arXiv:1606.05386, 2016
12422016
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
11192014
Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
10872014
Beyond accuracy: Behavioral testing of NLP models with CheckList
MT Ribeiro, T Wu, C Guestrin, S Singh
arXiv preprint arXiv:2005.04118, 2020
10742020
Training deep nets with sublinear memory cost
T Chen, B Xu, C Zhang, C Guestrin
arXiv preprint arXiv:1604.06174, 2016
9982016
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
6902008
Efficient solution algorithms for factored MDPs
C Guestrin, D Koller, R Parr, S Venkataraman
Journal of Artificial Intelligence Research 19, 399-468, 2003
6892003
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
6842005
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Artikkelit 1–20