Samory Kpotufe

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Steve HannekePurdue UniversityVerifisert e-postadresse på ttic.edu
Eric B. FlynnLos Alamos National LaboratoryVerifisert e-postadresse på lanl.gov
Nick FeamsterNeubauer Professor of Computer Science, University of ChicagoVerifisert e-postadresse på uchicago.edu
Kun YangSouthern Methodist UniversityVerifisert e-postadresse på smu.edu
Ulrike von LuxburgUniversity of TübingenVerifisert e-postadresse på informatik.uni-tuebingen.de
Guillaume G. MartinetPrinceton UniversityVerifisert e-postadresse på princeton.edu
Nakul VermaColumbia UniversityVerifisert e-postadresse på cs.columbia.edu
Joe SukColumbia UniversityVerifisert e-postadresse på columbia.edu
Daniel HsuColumbia UniversityVerifisert e-postadresse på cs.columbia.edu
Heinrich JiangResearch Scientist, Google ResearchVerifisert e-postadresse på google.com
Andrea LocatelliOvGU MagdeburgVerifisert e-postadresse på uni-potsdam.de
Gan YuanCity University of Hong KongVerifisert e-postadresse på cityu.edu.hk
Dominik JanzingAmazon Development Center, TuebingenVerifisert e-postadresse på amazon.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerifisert e-postadresse på tuebingen.mpg.de
Vikas GargMassachusetts Institute of Technology (MIT)Verifisert e-postadresse på mit.edu
Abdeslam BoulariasRutgers UniversityVerifisert e-postadresse på cs.rutgers.edu
Greg ShakhnarovichProfessor, TTI-ChicagoVerifisert e-postadresse på ttic.edu
Shubhendu TrivediMassachusetts Institute of TechnologyVerifisert e-postadresse på csail.mit.edu
Jialei WangUniversity of ChicagoVerifisert e-postadresse på uchicago.edu
Bharath SriperumbudurPennsylvania State UniversityVerifisert e-postadresse på psu.edu

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Samory Kpotufe

Columbia University

Verifisert e-postadresse på columbia.edu - Startside

Statistical Machine Learning


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
k-NN regression adapts to local intrinsic dimension S Kpotufe Advances in neural information processing systems 24, 2011	102	2011
Which spatial partition trees are adaptive to intrinsic dimension? N Verma, S Kpotufe, S Dasgupta arXiv preprint arXiv:1205.2609, 2012	100	2012
Consistent procedures for cluster tree estimation and pruning K Chaudhuri, S Dasgupta, S Kpotufe, U Von Luxburg IEEE Transactions on Information Theory 60 (12), 7900-7912, 2014	87	2014
On the value of target data in transfer learning S Hanneke, S Kpotufe Advances in Neural Information Processing Systems 32, 2019	84	2019
A different approach to sensor networking for SHM: Remote powering and interrogation with unmanned aerial vehicles M Todd, DDL Mascarenas, EB Flynn, T Rosing, B Lee, D Musiani, ... 6th International Workshop on Structural Health Monitoring: Quantification …, 2007	72	2007
Pruning nearest neighbor cluster trees S Kpotufe, U Von Luxburg arXiv preprint arXiv:1105.0540, 2011	65	2011
Optimal rates for k-nn density and mode estimation S Dasgupta, S Kpotufe Advances in Neural Information Processing Systems 27, 2014	62	2014
Marginal singularity, and the benefits of labels in covariate-shift S Kpotufe, G Martinet Conference On Learning Theory, 1882-1886, 2018	60	2018
Marginal singularity and the benefits of labels in covariate-shift S Kpotufe, G Martinet The Annals of Statistics 49 (6), 3299-3323, 2021	57	2021
A tree-based regressor that adapts to intrinsic dimension S Kpotufe, S Dasgupta Journal of Computer and System Sciences 78 (5), 1496-1515, 2012	57	2012
Consistency of causal inference under the additive noise model S Kpotufe, E Sgouritsa, D Janzing, B Schölkopf International Conference on Machine Learning, 478-486, 2014	54	2014
Adaptivity to local smoothness and dimension in kernel regression S Kpotufe, V Garg Advances in neural information processing systems 26, 2013	53	2013
A no-free-lunch theorem for multitask learning S Hanneke, S Kpotufe The Annals of Statistics 50 (6), 3119-3143, 2022	51	2022
An efficient one-class SVM for anomaly detection in the internet of things K Yang, S Kpotufe, N Feamster arXiv preprint arXiv:2104.11146, 2021	48	2021
Quickshift++: Provably good initializations for sample-based mean shift H Jiang, J Jang, S Kpotufe International Conference on Machine Learning, 2294-2303, 2018	38	2018
Adaptivity to noise parameters in nonparametric active learning A Locatelli, A Carpentier, S Kpotufe Proceedings of the 2017 Conference on Learning Theory, PMLR, 2017	33	2017
Modal-set estimation with an application to clustering H Jiang, S Kpotufe Artificial Intelligence and Statistics, 1197-1206, 2017	29	2017
A Consistent Estimator of the Expected Gradient Outerproduct. S Trivedi, J Wang, S Kpotufe, G Shakhnarovich UAI, 819-828, 2014	27	2014
Lipschitz density-ratios, structured data, and data-driven tuning S Kpotufe Artificial Intelligence and Statistics, 1320-1328, 2017	22	2017
Achieving the time of 1-NN, but the accuracy of k-NN L Xue, S Kpotufe International Conference on Artificial Intelligence and Statistics, 1628-1636, 2018	20	2018

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