Samory Kpotufe
27 papers · 2009–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (16)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(16)
🐺
Lone Wolf
(3)
🏆
Keyword Champion
(4)
🗃️
Keyword Collector
(132)
💎
Century Club
(27)
🔥
Unstoppable
(15)
⚡
Prolific Year
(5)
Conferences
NIPS (9)
AISTATS (6)
COLT (4)
JMLR (3)
ALT (2)
ICML (2)
ICLR (1)
Top co-authors
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