Kevin G. Jamieson
19 papers · 2011–2023 · 1 venue · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (37) ποΈ Keyword Collector (108)
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Trend Setter
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(18)
Optimization & Theory
(15)
Learning Types
(12)
Mathematics & Optimization
(8)
Optimization
(8)
Artificial Intelligence
(5)
Core Methods
(5)
Reinforcement Learning
(3)
Learning Paradigms
(3)
Methods
(3)
Computer Science
(2)
Application Areas
(2)
Core AI
(2)
Foundations
(2)
Computer Vision
(1)
Keywords
active learning
(7)
sample complexity
(6)
best arm identification
(4)
combinatorial bandit
(3)
linear bandit
(3)
experimental design
(3)
multi-armed bandit
(3)
binary classification
(2)
interactive learning
(2)
false discovery rate
(2)
pure exploration
(2)
adaptive algorithm
(2)
reproducible research
(1)
policy optimization
(1)
online learning
(1)
reinforcement learning
(1)
sequential decision making
(1)
multi-task learning
(1)
learning theory
(1)
function approximation
(1)
Papers
Active representation learning for general task space with applications in robotics
NeurIPS 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems
NeurIPS 2023
Active Learning with Safety Constraints
NeurIPS 2022
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
NeurIPS 2022
Instance-optimal PAC Algorithms for Contextual Bandits
NeurIPS 2022
Corruption Robust Active Learning
NeurIPS 2021
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
NeurIPS 2021
Selective Sampling for Online Best-arm Identification
NeurIPS 2021
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
NeurIPS 2020
A New Perspective on Pool-Based Active Classification and False-Discovery Control
NeurIPS 2019
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
NeurIPS 2019
Sequential Experimental Design for Transductive Linear Bandits
NeurIPS 2019
A Bandit Approach to Sequential Experimental Design with False Discovery Control
NeurIPS 2018
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
NeurIPS 2017
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
NeurIPS 2016
The Power of Adaptivity in Identifying Statistical Alternatives
NeurIPS 2016
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
NeurIPS 2015
Query Complexity of Derivative-Free Optimization
NeurIPS 2012
Active Ranking using Pairwise Comparisons
NeurIPS 2011