Follow
Carlos Guestrin
Title
Cited by
Cited by
Year
Xgboost: A scalable tree boosting system
T Chen, C Guestrin
Proceedings of the 22nd acm sigkdd international conference on knowledge …, 2016
229522016
" 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
109042016
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
27552007
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
23322012
{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
21912012
Max-margin Markov networks
B Taskar, C Guestrin, D Koller
Advances in neural information processing systems 16, 2003
17522003
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
17272008
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
15722004
Anchors: High-precision model-agnostic explanations
MT Ribeiro, S Singh, C Guestrin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
14112018
{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
13372012
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
10192014
{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
9852018
Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
7432014
Model-agnostic interpretability of machine learning
MT Ribeiro, S Singh, C Guestrin
arXiv preprint arXiv:1606.05386, 2016
7302016
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
6482005
Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining
T Chen, C Guestrin
6382016
Efficient solution algorithms for factored MDPs
C Guestrin, D Koller, R Parr, S Venkataraman
Journal of Artificial Intelligence Research 19, 399-468, 2003
6182003
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
6122008
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
5962004
Multiagent planning with factored MDPs
C Guestrin, D Koller, R Parr
Advances in neural information processing systems 14, 2001
5892001
The system can't perform the operation now. Try again later.
Articles 1–20