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Samory Kpotufe
Samory Kpotufe
Verifisert e-postadresse på columbia.edu - Startside
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Which spatial partition trees are adaptive to intrinsic dimension?
N Verma, S Kpotufe, S Dasgupta
arXiv preprint arXiv:1205.2609, 2012
1002012
k-NN regression adapts to local intrinsic dimension
S Kpotufe
Advances in neural information processing systems 24, 2011
982011
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
842014
On the value of target data in transfer learning
S Hanneke, S Kpotufe
Advances in Neural Information Processing Systems 32, 2019
722019
A different approach to sensor networking for SHM: Remote powering and interrogation with unmanned aerial vehicles
M Todd, D Mascarenas, E Flynn, T Rosing, B Lee, D Musiani, S Dasgupta, ...
6th International Workshop on Structural Health Monitoring: Quantification …, 2007
722007
Pruning nearest neighbor cluster trees
S Kpotufe, U Von Luxburg
arXiv preprint arXiv:1105.0540, 2011
642011
Optimal rates for k-nn density and mode estimation
S Dasgupta, S Kpotufe
Advances in Neural Information Processing Systems 27, 2014
592014
Adaptivity to local smoothness and dimension in kernel regression
S Kpotufe, V Garg
Advances in neural information processing systems 26, 2013
522013
A tree-based regressor that adapts to intrinsic dimension
S Kpotufe, S Dasgupta
Journal of Computer and System Sciences 78 (5), 1496-1515, 2012
522012
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
512014
Marginal singularity, and the benefits of labels in covariate-shift
S Kpotufe, G Martinet
Conference On Learning Theory, 1882-1886, 2018
502018
A no-free-lunch theorem for multitask learning
S Hanneke, S Kpotufe
The Annals of Statistics 50 (6), 3119-3143, 2022
412022
Marginal singularity and the benefits of labels in covariate-shift
S Kpotufe, G Martinet
The Annals of Statistics 49 (6), 3299-3323, 2021
382021
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
352021
Quickshift++: Provably good initializations for sample-based mean shift
H Jiang, J Jang, S Kpotufe
International Conference on Machine Learning, 2294-2303, 2018
342018
Adaptivity to noise parameters in nonparametric active learning
A Locatelli, A Carpentier, S Kpotufe
Proceedings of the 2017 Conference on Learning Theory, PMLR, 2017
322017
Modal-set estimation with an application to clustering
H Jiang, S Kpotufe
Artificial Intelligence and Statistics, 1197-1206, 2017
272017
A Consistent Estimator of the Expected Gradient Outerproduct.
S Trivedi, J Wang, S Kpotufe, G Shakhnarovich
UAI, 819-828, 2014
202014
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
192018
Hierarchical label queries with data-dependent partitions
S Kpotufe, R Urner, S Ben-David
Conference on Learning Theory, 1176-1189, 2015
192015
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Artikler 1–20