Samory Kpotufe

69 papers A* 14A 8B 2Journal 37Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Efficient Variant of One-Class SVM with Lifelong Online Learning Guarantees. CoRR Joe Suk, Samory Kpotufe
2025	J	`jnl`	Distributionally-Constrained Adversaries in Online Learning. CoRR Moïse Blanchard, Samory Kpotufe
2025	J	`jnl`	Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products. SIAM J. Math. Data Sci. Gan Yuan, Mingyue Xu, Samory Kpotufe, Daniel Hsu
2025	J	`jnl`	Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning. CoRR Yuyang Deng, Samory Kpotufe
2025	J	`jnl`	Neyman-Pearson Classification under Both Null and Alternative Distributions Shift. CoRR Mohammadreza M. Kalan, Yuyang Deng, Eitan J. Neugut, Samory Kpotufe
2025	J	`jnl`	Nonlinear Meta-learning Can Guarantee Faster Rates. SIAM J. Math. Data Sci. Dimitri Meunier, Zhu Li, Arthur Gretton, Samory Kpotufe
2025	A	`conf`	Transfer Neyman-Pearson Algorithm for Outlier Detection. AISTATS Mohammadreza M. Kalan, Eitan J. Neugut, Samory Kpotufe
2025	J	`jnl`	Transfer Neyman-Pearson Algorithm for Outlier Detection. CoRR Mohammadreza M. Kalan, Eitan J. Neugut, Samory Kpotufe
2024	J	`jnl`	A More Unified Theory of Transfer Learning. CoRR Steve Hanneke, Samory Kpotufe
2024	J	`jnl`	Classification Tree Pruning Under Covariate Shift. IEEE Trans. Inf. Theory Nicholas Galbraith, Samory Kpotufe
2024	J	`jnl`	Distribution-Free Rates in Neyman-Pearson Classification. CoRR Mohammadreza M. Kalan, Samory Kpotufe
2024	J	`jnl`	Regimes of No Gain in Multi-class Active Learning. J. Mach. Learn. Res. Gan Yuan, Yunfan Zhao, Samory Kpotufe
2024	A*	`conf`	Tight Rates in Supervised Outlier Transfer Learning. ICLR Mohammadreza M. Kalan, Samory Kpotufe
2023	J	`jnl`	Classification Tree Pruning Under Covariate Shift. CoRR Nicholas Galbraith, Samory Kpotufe
2023	J	`jnl`	Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products. CoRR Gan Yuan, Mingyue Xu, Samory Kpotufe, Daniel Hsu
2023	A*	`conf`	Limits of Model Selection under Transfer Learning. COLT Steve Hanneke, Samory Kpotufe, Yasaman Mahdaviyeh
2023	J	`jnl`	Limits of Model Selection under Transfer Learning. CoRR Steve Hanneke, Samory Kpotufe, Yasaman Mahdaviyeh
2023	J	`jnl`	Nonlinear Meta-Learning Can Guarantee Faster Rates. CoRR Dimitri Meunier, Zhu Li, Arthur Gretton, Samory Kpotufe
2023	J	`jnl`	Tight Rates in Supervised Outlier Transfer Learning. CoRR Mohammadreza M. Kalan, Samory Kpotufe
2023	A*	`conf`	Tracking Most Significant Shifts in Nonparametric Contextual Bandits. NeurIPS Joe Suk, Samory Kpotufe
2023	J	`jnl`	Tracking Most Significant Shifts in Nonparametric Contextual Bandits. CoRR Joe Suk, Samory Kpotufe
2022	J	`jnl`	An Efficient One-Class SVM for Novelty Detection in IoT. Trans. Mach. Learn. Res. Kun Yang, Samory Kpotufe, Nick Feamster
2022	A	`conf`	Nuances in Margin Conditions Determine Gains in Active Learning. AISTATS Samory Kpotufe, Gan Yuan, Yunfan Zhao
2022	A*	`conf`	Tracking Most Significant Arm Switches in Bandits. COLT Joe Suk, Samory Kpotufe
2021	J	`jnl`	An Efficient One-Class SVM for Anomaly Detection in the Internet of Things. CoRR Kun Yang, Samory Kpotufe, Nick Feamster
2021	A*	`ed.`	Conference on Learning Theory, COLT 2021, 15-19 August 2021, Boulder, Colorado, USA. COLT Mikhail Belkin, Samory Kpotufe
2021	J	`jnl`	Nuances in Margin Conditions Determine Gains in Active Learning. CoRR Samory Kpotufe, Gan Yuan, Yunfan Zhao
2021	B	`conf`	Self-Tuning Bandits over Unknown Covariate-Shifts. ALT Joseph Suk, Samory Kpotufe
2021	J	`jnl`	Tracking Most Severe Arm Changes in Bandits. CoRR Joe Suk, Samory Kpotufe
2020	J	`jnl`	A Comparative Study of Network Traffic Representations for Novelty Detection. CoRR Kun Yang, Samory Kpotufe, Nick Feamster
2020	J	`jnl`	A No-Free-Lunch Theorem for MultiTask Learning. CoRR Steve Hanneke, Samory Kpotufe
2020	A	`conf`	Gaussian Sketching yields a J-L Lemma in RKHS. AISTATS Samory Kpotufe, Bharath K. Sriperumbudur
2020	—	`ch.`	Nearest Neighbor Classification and Search. Beyond the Worst-Case Analysis of Algorithms Sanjoy Dasgupta, Samory Kpotufe
2020	J	`jnl`	On the Value of Target Data in Transfer Learning. CoRR Steve Hanneke, Samory Kpotufe
2020	J	`jnl`	Self-Tuning Bandits over Unknown Covariate-Shifts. CoRR Joseph Suk, Samory Kpotufe
2019	J	`jnl`	Kernel Sketching yields Kernel JL. CoRR Samory Kpotufe, Bharath K. Sriperumbudur
2019	A*	`conf`	On the Value of Target Data in Transfer Learning. NeurIPS Steve Hanneke, Samory Kpotufe
2018	A	`conf`	Achieving the time of 1-NN, but the accuracy of k-NN. AISTATS Lirong Xue, Samory Kpotufe
2018	B	`conf`	An Adaptive Strategy for Active Learning with Smooth Decision Boundary. ALT Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe
2018	A*	`conf`	Marginal Singularity, and the Benefits of Labels in Covariate-Shift. COLT Samory Kpotufe, Guillaume Martinet
2018	J	`jnl`	Marginal Singularity, and the Benefits of Labels in Covariate-Shift. CoRR Samory Kpotufe, Guillaume Martinet
2018	A*	`conf`	PAC-Bayes Tree: weighted subtrees with guarantees. NeurIPS Tin D. Nguyen, Samory Kpotufe
2018	A*	`conf`	Quickshift++: Provably Good Initializations for Sample-Based Mean Shift. ICML Heinrich Jiang, Jennifer Jang, Samory Kpotufe
2018	J	`jnl`	Quickshift++: Provably Good Initializations for Sample-Based Mean Shift. CoRR Heinrich Jiang, Jennifer Jang, Samory Kpotufe
2017	A*	`conf`	Adaptivity to Noise Parameters in Nonparametric Active Learning. COLT Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe
2017	J	`jnl`	An Adaptive Strategy for Active Learning with Smooth Decision Boundary. CoRR Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe
2017	A	`conf`	Lipschitz Density-Ratios, Structured Data, and Data-driven Tuning. AISTATS Samory Kpotufe
2017	A	`conf`	Modal-set estimation with an application to clustering. AISTATS Heinrich Jiang, Samory Kpotufe
2017	J	`jnl`	Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality. J. Mach. Learn. Res. Samory Kpotufe, Nakul Verma
2016	J	`jnl`	Gradients Weights improve Regression and Classification. J. Mach. Learn. Res. Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, Kyoungok Kim
2016	J	`jnl`	Modal-set estimation with an application to clustering. CoRR Heinrich Jiang, Samory Kpotufe
2015	A*	`conf`	Hierarchical Label Queries with Data-Dependent Partitions. COLT Samory Kpotufe, Ruth Urner, Shai Ben-David
2014	A	`conf`	A Consistent Estimator of the Expected Gradient Outerproduct. UAI Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich
2014	A*	`conf`	Consistency of Causal Inference under the Additive Noise Model. ICML Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing, Bernhard Schölkopf
2014	J	`jnl`	Consistent Procedures for Cluster Tree Estimation and Pruning. IEEE Trans. Inf. Theory Kamalika Chaudhuri, Sanjoy Dasgupta, Samory Kpotufe, Ulrike von Luxburg
2014	—	`conf`	Optimal rates for k-NN density and mode estimation. NIPS Sanjoy Dasgupta, Samory Kpotufe
2013	—	`conf`	Adaptivity to Local Smoothness and Dimension in Kernel Regression. NIPS Samory Kpotufe, Vikas K. Garg
2013	J	`jnl`	Consistency of Causal Inference under the Additive Noise Model. CoRR Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing, Bernhard Schölkopf
2013	—	`conf`	Regression-tree Tuning in a Streaming Setting. NIPS Samory Kpotufe, Francesco Orabona
2012	J	`jnl`	A tree-based regressor that adapts to intrinsic dimension. J. Comput. Syst. Sci. Samory Kpotufe, Sanjoy Dasgupta
2012	—	`conf`	Gradient Weights help Nonparametric Regressors. NIPS Samory Kpotufe, Abdeslam Boularias
2012	J	`jnl`	Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? CoRR Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta
2011	J	`jnl`	Pruning nearest neighbor cluster trees CoRR Samory Kpotufe, Ulrike von Luxburg
2011	A*	`conf`	Pruning nearest neighbor cluster trees. ICML Samory Kpotufe, Ulrike von Luxburg
2011	—	`conf`	k-NN Regression Adapts to Local Intrinsic Dimension. NIPS Samory Kpotufe
2010	—	`—`	The curse of dimension in nonparametric regression. Samory Kpotufe
2009	A*	`conf`	Escaping the Curse of Dimensionality with a Tree-based Regressor. COLT Samory Kpotufe
2009	—	`conf`	Fast, smooth and adaptive regression in metric spaces. NIPS Samory Kpotufe
2009	A	`conf`	Which Spatial Partition Trees are Adaptive to Intrinsic Dimension? UAI Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta