Samory Kpotufe

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Sanjoy DasguptaProfessor of Computer Science, University of California, San DiegoVerified email at eng.ucsd.edu
Eric B. FlynnLos Alamos National LaboratoryVerified email at lanl.gov
Steve HannekePurdue UniversityVerified email at ttic.edu
Nick FeamsterNeubauer Professor of Computer Science, University of ChicagoVerified email at uchicago.edu
Kun YangPrinceton UniversityVerified email at princeton.edu
Ulrike von LuxburgUniversity of TübingenVerified email at informatik.uni-tuebingen.de
Nakul VermaColumbia UniversityVerified email at cs.columbia.edu
Guillaume G. MartinetPrinceton UniversityVerified email at princeton.edu
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Joe SukColumbia UniversityVerified email at columbia.edu
Heinrich JiangResearch Scientist, Google ResearchVerified email at google.com
Andrea LocatelliOvGU MagdeburgVerified email at uni-potsdam.de
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Vikas GargMassachusetts Institute of Technology (MIT)Verified email at mit.edu
Abdeslam BoulariasRutgers UniversityVerified email at cs.rutgers.edu
Eloi FigueiredoFull Professor, Universidade Lusófona de Humanidades e TecnologiasVerified email at ulusofona.pt
Greg ShakhnarovichProfessor, TTI-ChicagoVerified email at ttic.edu
Shubhendu TrivediMassachusetts Institute of TechnologyVerified email at csail.mit.edu
Jialei WangUniversity of ChicagoVerified email at uchicago.edu

Samory Kpotufe

Columbia University

Verified email at columbia.edu - Homepage

Statistical Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Which spatial partition trees are adaptive to intrinsic dimension? N Verma, S Kpotufe, S Dasgupta arXiv preprint arXiv:1205.2609, 2012	99	2012
k-NN regression adapts to local intrinsic dimension S Kpotufe Advances in neural information processing systems 24, 2011	97	2011
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	83	2014
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
On the value of target data in transfer learning S Hanneke, S Kpotufe Advances in Neural Information Processing Systems 32, 2019	71	2019
Pruning nearest neighbor cluster trees S Kpotufe, U Von Luxburg arXiv preprint arXiv:1105.0540, 2011	64	2011
Optimal rates for k-nn density and mode estimation S Dasgupta, S Kpotufe Advances in Neural Information Processing Systems 27, 2014	59	2014
A tree-based regressor that adapts to intrinsic dimension S Kpotufe, S Dasgupta Journal of Computer and System Sciences 78 (5), 1496-1515, 2012	53	2012
Marginal singularity, and the benefits of labels in covariate-shift S Kpotufe, G Martinet Conference On Learning Theory, 1882-1886, 2018	51	2018
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	51	2014
Adaptivity to local smoothness and dimension in kernel regression S Kpotufe, V Garg Advances in neural information processing systems 26, 2013	50	2013
A no-free-lunch theorem for multitask learning S Hanneke, S Kpotufe The Annals of Statistics 50 (6), 3119-3143, 2022	46	2022
Marginal singularity and the benefits of labels in covariate-shift S Kpotufe, G Martinet The Annals of Statistics 49 (6), 3299-3323, 2021	40	2021
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	38	2021
Quickshift++: Provably good initializations for sample-based mean shift H Jiang, J Jang, S Kpotufe International Conference on Machine Learning, 2294-2303, 2018	35	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	31	2017
Modal-set estimation with an application to clustering H Jiang, S Kpotufe Artificial Intelligence and Statistics, 1197-1206, 2017	27	2017
A Consistent Estimator of the Expected Gradient Outerproduct. S Trivedi, J Wang, S Kpotufe, G Shakhnarovich UAI, 819-828, 2014	22	2014
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	19	2018
Escaping the curse of dimensionality with a tree-based regressor S Kpotufe arXiv preprint arXiv:0902.3453, 2009	19	2009

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