← Authors

Samory Kpotufe

27 papers · 2009–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (35) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (16) 🐺 Lone Wolf (3) πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (132) πŸ’Ž Century Club (27) πŸ”₯ Unstoppable (15) ⚑ Prolific Year (5)

Conferences

NIPS (9) AISTATS (6) COLT (4) JMLR (3) ALT (2) ICML (2) ICLR (1)

Top co-authors

Abdeslam Boularias (2) Steve Hanneke (2) Joe Suk (2) Gan Yuan (2) Heinrich Jiang (2) Mohammadreza Mousavi Kalan (2) Yunfan Zhao (2) Vikas Garg (1) Lirong Xue (1) Kyoungok Kim (1)

Keywords

kernel regression (5) nonparametric regression (5) active learning (4) transfer learning (4) metric space (3) minimax rate (3) domain adaptation (3) adaptive regression (3) k-nearest neighbor (3) density estimation (3) decision tree (2) contextual bandit (2) statistical consistency (2) nearest neighbor regression (2) nonparametric classification (2) online learning (2) covariate shift (2) passive learning (2) regret bound (2) bayes classifier (2)

Papers

Transfer Neyman-Pearson Algorithm for Outlier Detection AISTATS 2025
Regimes of No Gain in Multi-class Active Learning JMLR 2024
Tight Rates in Supervised Outlier Transfer Learning ICLR 2024
Tracking Most Significant Shifts in Nonparametric Contextual Bandits NIPS 2023
Limits of Model Selection under Transfer Learning COLT 2023
Nuances in Margin Conditions Determine Gains in Active Learning AISTATS 2022
Tracking Most Significant Arm Switches in Bandits COLT 2022
Self-Tuning Bandits over Unknown Covariate-Shifts ALT 2021
Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020
On the Value of Target Data in Transfer Learning NIPS 2019
PAC-Bayes Tree: weighted subtrees with guarantees NIPS 2018
Achieving the time of 1-NN, but the accuracy of k-NN AISTATS 2018
An Adaptive Strategy for Active Learning with Smooth Decision Boundary ALT 2018
Marginal Singularity, and the Benefits of Labels in Covariate-Shift COLT 2018
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift ICML 2018
Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality JMLR 2017
Modal-set estimation with an application to clustering AISTATS 2017
Lipschitz Density-Ratios, Structured Data, and Data-driven Tuning AISTATS 2017
Gradients Weights improve Regression and Classification JMLR 2016
Hierarchical Label Queries with Data-Dependent Partitions COLT 2015
Consistency of Causal Inference under the Additive Noise Model ICML 2014
Optimal rates for k-NN density and mode estimation NIPS 2014
Regression-tree Tuning in a Streaming Setting NIPS 2013
Adaptivity to Local Smoothness and Dimension in Kernel Regression NIPS 2013
Gradient Weights help Nonparametric Regressors NIPS 2012
k-NN Regression Adapts to Local Intrinsic Dimension NIPS 2011
Fast, smooth and adaptive regression in metric spaces NIPS 2009