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Carlos Guestrin
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Año
Xgboost: A scalable tree boosting system
T Chen, C Guestrin
Proceedings of the 22nd acm sigkdd international conference on knowledge …, 2016
242742016
" 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
114332016
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
27712007
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
23652012
Powergraph: Distributed graph-parallel computation on natural graphs
JE Gonzalez, Y Low, H Gu, D Bickson, C Guestrin
Presented as part of the 10th {USENIX} Symposium on Operating Systems Design …, 2012
22292012
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
17422008
Max-margin Markov networks
B Taskar, C Guestrin, D Koller
Advances in neural information processing systems 16, 2003
17202003
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
15672004
Anchors: High-precision model-agnostic explanations
MT Ribeiro, S Singh, C Guestrin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
14902018
Graphchi: Large-scale graph computation on just a {PC}
A Kyrola, G Blelloch, C Guestrin
Presented as part of the 10th {USENIX} Symposium on Operating Systems Design …, 2012
13632012
TVM: An automated end-to-end optimizing compiler for deep learning
T Chen, T Moreau, Z Jiang, L Zheng, E Yan, M Cowan, H Shen, L Wang, ...
arXiv preprint arXiv:1802.04799, 2018
10662018
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
10302014
Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining
T Chen, C Guestrin
8672016
Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
7722014
Model-agnostic interpretability of machine learning
MT Ribeiro, S Singh, C Guestrin
arXiv preprint arXiv:1606.05386, 2016
7672016
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
6542005
Efficient solution algorithms for factored MDPs
C Guestrin, D Koller, R Parr, S Venkataraman
Journal of Artificial Intelligence Research 19, 399-468, 2003
6202003
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
6192008
Distributed regression: an efficient framework for modeling sensor network data
C Guestrin, P Bodik, R Thibaux, M Paskin, S Madden
Proceedings of the 3rd international symposium on Information processing in …, 2004
5942004
Multiagent planning with factored MDPs
C Guestrin, D Koller, R Parr
Advances in neural information processing systems 14, 2001
5922001
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Artículos 1–20