Kpotufe, Samory

33 publications

NeurIPS 2025 Mixed-Sample SGD: An End-to-End Analysis of Supervised Transfer Learning Yuyang Deng, Samory Kpotufe

AISTATS 2025 Transfer Neyman-Pearson Algorithm for Outlier Detection Mohammadreza Mousavi Kalan, Eitan J. Neugut, Samory Kpotufe

JMLR 2024 Regimes of No Gain in Multi-Class Active Learning Gan Yuan, Yunfan Zhao, Samory Kpotufe

ICLR 2024 Tight Rates in Supervised Outlier Transfer Learning Mohammadreza Mousavi Kalan, Samory Kpotufe

COLT 2023 Limits of Model Selection Under Transfer Learning Steve Hanneke, Samory Kpotufe, Yasaman Mahdaviyeh

NeurIPS 2023 Tracking Most Significant Shifts in Nonparametric Contextual Bandits Joe Suk, Samory Kpotufe

AISTATS 2022 Nuances in Margin Conditions Determine Gains in Active Learning Samory Kpotufe, Gan Yuan, Yunfan Zhao

TMLR 2022 An Efficient One-Class SVM for Novelty Detection in IoT Kun Yang, Samory Kpotufe, Nick Feamster

COLT 2022 Tracking Most Significant Arm Switches in Bandits Joe Suk, Samory Kpotufe

ALT 2021 Self-Tuning Bandits over Unknown Covariate-Shifts Joseph Suk, Samory Kpotufe

AISTATS 2020 Gaussian Sketching Yields a J-L Lemma in RKHS Samory Kpotufe, Bharath Sriperumbudur

NeurIPS 2019 On the Value of Target Data in Transfer Learning Steve Hanneke, Samory Kpotufe

AISTATS 2018 Achieving the Time of 1-NN, but the Accuracy of k-NN Lirong Xue, Samory Kpotufe

ALT 2018 An Adaptive Strategy for Active Learning with Smooth Decision Boundary Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe

COLT 2018 Marginal Singularity, and the Benefits of Labels in Covariate-Shift Samory Kpotufe, Guillaume Martinet

NeurIPS 2018 PAC-Bayes Tree: Weighted Subtrees with Guarantees Tin D Nguyen, Samory Kpotufe

ICML 2018 Quickshift++: Provably Good Initializations for Sample-Based Mean Shift Heinrich Jiang, Jennifer Jang, Samory Kpotufe

AISTATS 2017 Lipschitz Density-Ratios, Structured Data, and Data-Driven Tuning Samory Kpotufe

AISTATS 2017 Modal-Set Estimation with an Application to Clustering Heinrich Jiang, Samory Kpotufe

JMLR 2017 Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality Samory Kpotufe, Nakul Verma

JMLR 2016 Gradients Weights Improve Regression and Classification Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, Kyoungok Kim

COLT 2015 Hierarchical Label Queries with Data-Dependent Partitions Samory Kpotufe, Ruth Urner, Shai Ben-David

UAI 2014 A Consistent Estimator of the Expected Gradient Outerproduct Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich

ICML 2014 Consistency of Causal Inference Under the Additive Noise Model Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing, Bernhard Schölkopf

NeurIPS 2014 Optimal Rates for k-NN Density and Mode Estimation Sanjoy Dasgupta, Samory Kpotufe

NeurIPS 2013 Adaptivity to Local Smoothness and Dimension in Kernel Regression Samory Kpotufe, Vikas Garg

NeurIPS 2013 Regression-Tree Tuning in a Streaming Setting Samory Kpotufe, Francesco Orabona

NeurIPS 2012 Gradient Weights Help Nonparametric Regressors Samory Kpotufe, Abdeslam Boularias

ICML 2011 Pruning Nearest Neighbor Cluster Trees Samory Kpotufe, Ulrike von Luxburg

NeurIPS 2011 k-NN Regression Adapts to Local Intrinsic Dimension Samory Kpotufe

COLT 2009 Escaping the Curse of Dimensionality with a Tree-Based Regressor Samory Kpotufe

NeurIPS 2009 Fast, Smooth and Adaptive Regression in Metric Spaces Samory Kpotufe

UAI 2009 Which Spatial Partition Trees Are Adaptive to Intrinsic Dimension? Nakul Verma, Samory Kpotufe, Sanjoy Dasgupta