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ORCIDSamory Kpotufe
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- affiliation: Columbia University, NY, USA
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2020 – today
- 2024
[j7]Gan Yuan, Yunfan Zhao, Samory Kpotufe:
Regimes of No Gain in Multi-class Active Learning. J. Mach. Learn. Res. 25: 129:1-129:31 (2024)- [j6]Nicholas Galbraith
, Samory Kpotufe:
Classification Tree Pruning Under Covariate Shift. IEEE Trans. Inf. Theory 70(1): 456-481 (2024) - [c28]Mohammadreza M. Kalan, Samory Kpotufe:
Tight Rates in Supervised Outlier Transfer Learning. ICLR 2024 - [i23]Mohammadreza M. Kalan, Samory Kpotufe:
Distribution-Free Rates in Neyman-Pearson Classification. CoRR abs/2402.09560 (2024) - [i22]Steve Hanneke, Samory Kpotufe:
A More Unified Theory of Transfer Learning. CoRR abs/2408.16189 (2024) - 2023
- [c27]Steve Hanneke, Samory Kpotufe, Yasaman Mahdaviyeh:
Limits of Model Selection under Transfer Learning. COLT 2023: 5781-5812 - [c26]Joe Suk, Samory Kpotufe:
Tracking Most Significant Shifts in Nonparametric Contextual Bandits. NeurIPS 2023 - [i21]Steve Hanneke, Samory Kpotufe, Yasaman Mahdaviyeh:
Limits of Model Selection under Transfer Learning. CoRR abs/2305.00152 (2023) - [i20]Nicholas Galbraith, Samory Kpotufe:
Classification Tree Pruning Under Covariate Shift. CoRR abs/2305.04335 (2023) - [i19]Joe Suk, Samory Kpotufe:
Tracking Most Significant Shifts in Nonparametric Contextual Bandits. CoRR abs/2307.05341 (2023) - [i18]Dimitri Meunier, Zhu Li, Arthur Gretton, Samory Kpotufe:
Nonlinear Meta-Learning Can Guarantee Faster Rates. CoRR abs/2307.10870 (2023) - [i17]Mohammadreza M. Kalan, Samory Kpotufe:
Tight Rates in Supervised Outlier Transfer Learning. CoRR abs/2310.04686 (2023) - [i16]Gan Yuan, Mingyue Xu, Samory Kpotufe, Daniel Hsu:
Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products. CoRR abs/2312.15469 (2023) - 2022
- [j5]Kun Yang, Samory Kpotufe, Nick Feamster:
An Efficient One-Class SVM for Novelty Detection in IoT. Trans. Mach. Learn. Res. 2022 (2022) - [c25]Samory Kpotufe, Gan Yuan, Yunfan Zhao:
Nuances in Margin Conditions Determine Gains in Active Learning. AISTATS 2022: 8112-8126 - [c24]Joe Suk, Samory Kpotufe:
Tracking Most Significant Arm Switches in Bandits. COLT 2022: 2160-2182 - 2021
- [c23]Joseph Suk, Samory Kpotufe:
Self-Tuning Bandits over Unknown Covariate-Shifts. ALT 2021: 1114-1156 - [e1]Mikhail Belkin, Samory Kpotufe:
Conference on Learning Theory, COLT 2021, 15-19 August 2021, Boulder, Colorado, USA. Proceedings of Machine Learning Research 134, PMLR 2021 [contents] - [i15]Kun Yang, Samory Kpotufe, Nick Feamster:
An Efficient One-Class SVM for Anomaly Detection in the Internet of Things. CoRR abs/2104.11146 (2021) - [i14]Samory Kpotufe, Gan Yuan, Yunfan Zhao:
Nuances in Margin Conditions Determine Gains in Active Learning. CoRR abs/2110.08418 (2021) - [i13]Joe Suk, Samory Kpotufe:
Tracking Most Severe Arm Changes in Bandits. CoRR abs/2112.13838 (2021) - 2020
- [c22]Samory Kpotufe, Bharath K. Sriperumbudur:
Gaussian Sketching yields a J-L Lemma in RKHS. AISTATS 2020: 3928-3937 - [p1]Sanjoy Dasgupta, Samory Kpotufe:
Nearest Neighbor Classification and Search. Beyond the Worst-Case Analysis of Algorithms 2020: 403-423 - [i12]Steve Hanneke, Samory Kpotufe:
On the Value of Target Data in Transfer Learning. CoRR abs/2002.04747 (2020) - [i11]Steve Hanneke, Samory Kpotufe:
A No-Free-Lunch Theorem for MultiTask Learning. CoRR abs/2006.15785 (2020) - [i10]Kun Yang, Samory Kpotufe, Nick Feamster:
A Comparative Study of Network Traffic Representations for Novelty Detection. CoRR abs/2006.16993 (2020) - [i9]Joseph Suk, Samory Kpotufe:
Self-Tuning Bandits over Unknown Covariate-Shifts. CoRR abs/2007.08584 (2020)
2010 – 2019
- 2019
- [c21]Steve Hanneke, Samory Kpotufe:
On the Value of Target Data in Transfer Learning. NeurIPS 2019: 9867-9877 - [i8]Samory Kpotufe, Bharath K. Sriperumbudur:
Kernel Sketching yields Kernel JL. CoRR abs/1908.05818 (2019) - 2018
- [c20]Lirong Xue, Samory Kpotufe:
Achieving the time of 1-NN, but the accuracy of k-NN. AISTATS 2018: 1628-1636 - [c19]Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe:
An Adaptive Strategy for Active Learning with Smooth Decision Boundary. ALT 2018: 547-571 - [c18]Samory Kpotufe, Guillaume Martinet:
Marginal Singularity, and the Benefits of Labels in Covariate-Shift. COLT 2018: 1882-1886 - [c17]Heinrich Jiang, Jennifer Jang, Samory Kpotufe:
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift. ICML 2018: 2299-2308 - [c16]Tin D. Nguyen, Samory Kpotufe:
PAC-Bayes Tree: weighted subtrees with guarantees. NeurIPS 2018: 9504-9512 - [i7]Samory Kpotufe, Guillaume Martinet:
Marginal Singularity, and the Benefits of Labels in Covariate-Shift. CoRR abs/1803.01833 (2018) - [i6]Heinrich Jiang, Jennifer Jang, Samory Kpotufe:
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift. CoRR abs/1805.07909 (2018) - 2017
- [j4]Samory Kpotufe, Nakul Verma:
Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality. J. Mach. Learn. Res. 18: 44:1-44:29 (2017) - [c15]Heinrich Jiang, Samory Kpotufe:
Modal-set estimation with an application to clustering. AISTATS 2017: 1197-1206 - [c14]Samory Kpotufe:
Lipschitz Density-Ratios, Structured Data, and Data-driven Tuning. AISTATS 2017: 1320-1328 - [c13]Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe:
Adaptivity to Noise Parameters in Nonparametric Active Learning. COLT 2017: 1383-1416 - [i5]Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe:
An Adaptive Strategy for Active Learning with Smooth Decision Boundary. CoRR abs/1711.09294 (2017) - 2016
- [j3]Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, Kyoungok Kim:
Gradients Weights improve Regression and Classification. J. Mach. Learn. Res. 17: 22:1-22:34 (2016) - [i4]Heinrich Jiang, Samory Kpotufe:
Modal-set estimation with an application to clustering. CoRR abs/1606.04166 (2016) - 2015
- [c12]Samory Kpotufe, Ruth Urner, Shai Ben-David:
Hierarchical Label Queries with Data-Dependent Partitions. COLT 2015: 1176-1189 - 2014
- [j2]Kamalika Chaudhuri, Sanjoy Dasgupta, Samory Kpotufe, Ulrike von Luxburg:
Consistent Procedures for Cluster Tree Estimation and Pruning. IEEE Trans. Inf. Theory 60(12): 7900-7912 (2014) - [c11]Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing, Bernhard Schölkopf:
Consistency of Causal Inference under the Additive Noise Model. ICML 2014: 478-486 - [c10]Sanjoy Dasgupta, Samory Kpotufe:
Optimal rates for k-NN density and mode estimation. NIPS 2014: 2555-2563 - [c9]Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich:
A Consistent Estimator of the Expected Gradient Outerproduct. UAI 2014: 819-828 - 2013
- [c8]Samory Kpotufe, Francesco Orabona:
Regression-tree Tuning in a Streaming Setting. NIPS 2013: 1788-1796 - [c7]Samory Kpotufe, Vikas K. Garg:
Adaptivity to Local Smoothness and Dimension in Kernel Regression. NIPS 2013: 3075-3083 - [i3]Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing, Bernhard Schölkopf:
Consistency of Causal Inference under the Additive Noise Model. CoRR abs/1312.5770 (2013) - 2012
- [j1]Samory Kpotufe, Sanjoy Dasgupta:
A tree-based regressor that adapts to intrinsic dimension. J. Comput. Syst. Sci. 78(5): 1496-1515 (2012) - [c6]Samory Kpotufe, Abdeslam Boularias:
Gradient Weights help Nonparametric Regressors. NIPS 2012: 2870-2878 - [i2]Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta:
Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? CoRR abs/1205.2609 (2012) - 2011
- [c5]Samory Kpotufe, Ulrike von Luxburg:
Pruning nearest neighbor cluster trees. ICML 2011: 225-232 - [c4]Samory Kpotufe:
k-NN Regression Adapts to Local Intrinsic Dimension. NIPS 2011: 729-737 - [i1]Samory Kpotufe, Ulrike von Luxburg:
Pruning nearest neighbor cluster trees. CoRR abs/1105.0540 (2011) - 2010
- [b1]Samory Kpotufe:
The curse of dimension in nonparametric regression. University of California, San Diego, USA, 2010
2000 – 2009
- 2009
- [c3]Samory Kpotufe:
Escaping the Curse of Dimensionality with a Tree-based Regressor. COLT 2009 - [c2]Samory Kpotufe:
Fast, smooth and adaptive regression in metric spaces. NIPS 2009: 1024-1032 - [c1]Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta:
Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? UAI 2009: 565-574
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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