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Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzVerifierad e-postadress på ucsc.edu
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceVerifierad e-postadress på vt.edu
Ben TaskarUniversity of WashingtonVerifierad e-postadress på cs.washington.edu
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerifierad e-postadress på cs.cornell.edu
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityVerifierad e-postadress på cs.brown.edu
Jay PujaraResearch Associate Professor, University of Southern CaliforniaVerifierad e-postadress på cs.umd.edu
Ted SandlerAmazon.comVerifierad e-postadress på amazon.com
Larry DavisProfessor of Computer Science, University of MarylandVerifierad e-postadress på cs.umd.edu
Theodoros RekatsinasAppleVerifierad e-postadress på inf.ethz.ch
Sabina TomkinsAssistant Professor of Information, University of MichiganVerifierad e-postadress på umich.edu
Sameh KhamisCo-Founder and Director of R&D, RembrandVerifierad e-postadress på rembrand.com
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerifierad e-postadress på eng.cam.ac.uk
Ofer MeshiResearch Scientist at GoogleVerifierad e-postadress på google.com
Yi SuGoogle DeepmindVerifierad e-postadress på google.com
Adith SwaminathanNetflixVerifierad e-postadress på netflix.com
William W. CohenCMU and Google DeepMindVerifierad e-postadress på google.com
David SontagProfessor, Massachusetts Institute of TechnologyVerifierad e-postadress på csail.mit.edu
Alexander SchwingUniversity of Illinois at Urbana-ChampaignVerifierad e-postadress på illinois.edu

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Ben London

Principal Scientist at Amazon

Verifierad e-postadress på amazon.com - Startsida

machine learning statistical learning theory structured prediction offline policy evaluation


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Query-driven active surveying for collective classification G Namata, B London, L Getoor, B Huang, U Edu 10th international workshop on mining and learning with graphs 8, 1, 2012	636	2012
Hinge-loss Markov random fields: Convex inference for structured prediction S Bach, B Huang, B London, L Getoor arXiv preprint arXiv:1309.6813, 2013	147	2013
A PAC-Bayesian analysis of randomized learning with application to stochastic gradient descent B London Advances in Neural Information Processing Systems 30, 2017	83	2017
Collective graph identification GM Namata, B London, L Getoor ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 1-36, 2016	66	2016
Stability and generalization in structured prediction B London, B Huang, L Getoor Journal of Machine Learning Research 17 (221), 1-52, 2016	61	2016
Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations S Tomkins, S Isley, B London, L Getoor Proceedings of the 12th ACM conference on recommender systems, 214-218, 2018	59	2018
Collective Classification of Network Data. B London, L Getoor Data Classification: Algorithms and Applications 399, 2014	58	2014
Collective stability in structured prediction: Generalization from one example B London, B Huang, B Taskar, L Getoor International Conference on Machine Learning, 828-836, 2013	56	2013
Bayesian counterfactual risk minimization B London, T Sandler International Conference on Machine Learning, 4125-4133, 2019	40	2019
Collective activity detection using hinge-loss Markov random fields B London, S Khamis, SH Bach, B Huang, L Getoor, L Davis 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops …, 2013	33	2013
PAC-Bayesian collective stability B London, B Huang, B Taskar, L Getoor Artificial Intelligence and Statistics, 585-594, 2014	32	2014
Multi-relational learning using weighted tensor decomposition with modular loss B London, T Rekatsinas, B Huang, L Getoor arXiv preprint arXiv:1303.1733, 2013	24	2013
Recommendations as treatments T Joachims, B London, Y Su, A Swaminathan, L Wang AI Magazine 42 (3), 19-30, 2021	21	2021
Reducing label cost by combining feature labels and crowdsourcing J Pujara, B London, L Getoor ICML workshop on Combining learning strategies to reduce label cost, 2011	15	2011
Budgeted Online Collective Inference. J Pujara, B London, L Getoor UAI, 712-721, 2015	14	2015
Improved generalization bounds for large-scale structured prediction B London, B Huang, L Getoor NIPS workshop on algorithmic and statistical approaches for large social …, 2012	12	2012
Generalization bounds for randomized learning with application to stochastic gradient descent B London	11	2017
The benefits of learning with strongly convex approximate inference B London, B Huang, L Getoor International Conference on Machine Learning, 410-418, 2015	10	2015
Online inference for knowledge graph construction J Pujara, B London, L Getoor, WW Cohen Workshop on statistical relational AI, 2015	9	2015
Tutorials at the web conference 2023 V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ... Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023	7	2023

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