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Samory Kpotufe
Samory Kpotufe
Verified email at columbia.edu - Homepage
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
1002012
k-NN regression adapts to local intrinsic dimension
S Kpotufe
Advances in neural information processing systems 24, 2011
1002011
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
762019
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
722007
Pruning nearest neighbor cluster trees
S Kpotufe, U Von Luxburg
arXiv preprint arXiv:1105.0540, 2011
652011
Optimal rates for k-nn density and mode estimation
S Dasgupta, S Kpotufe
Advances in Neural Information Processing Systems 27, 2014
612014
Marginal singularity, and the benefits of labels in covariate-shift
S Kpotufe, G Martinet
Conference On Learning Theory, 1882-1886, 2018
562018
A tree-based regressor that adapts to intrinsic dimension
S Kpotufe, S Dasgupta
Journal of Computer and System Sciences 78 (5), 1496-1515, 2012
532012
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
522014
Adaptivity to local smoothness and dimension in kernel regression
S Kpotufe, V Garg
Advances in neural information processing systems 26, 2013
502013
A no-free-lunch theorem for multitask learning
S Hanneke, S Kpotufe
The Annals of Statistics 50 (6), 3119-3143, 2022
482022
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
472021
Marginal singularity and the benefits of labels in covariate-shift
S Kpotufe, G Martinet
The Annals of Statistics 49 (6), 3299-3323, 2021
462021
Quickshift++: Provably good initializations for sample-based mean shift
H Jiang, J Jang, S Kpotufe
International Conference on Machine Learning, 2294-2303, 2018
372018
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
222014
Lipschitz density-ratios, structured data, and data-driven tuning
S Kpotufe
Artificial Intelligence and Statistics, 1320-1328, 2017
202017
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
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