Kevin G. Jamieson
19 papers · 2011–2023 · 1 conference · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (6) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
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Interdisciplinary Bridge
🏃
Academic Marathon
(12)
💎
Century Club
(19)
🗃️
Keyword Collector
(104)
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Unstoppable
(9)
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Trend Setter
Conferences
NIPS (19)
Top co-authors
Keywords
active learning
(7)
sample complexity
(6)
combinatorial bandit
(3)
best-arm identification
(3)
experimental design
(3)
multi-armed bandit
(3)
linear bandit
(3)
binary classification
(2)
interactive learning
(2)
false discovery rate
(2)
adaptive algorithm
(2)
pure exploration
(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
NIPS 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems
NIPS 2023
Active Learning with Safety Constraints
NIPS 2022
Instance-optimal PAC Algorithms for Contextual Bandits
NIPS 2022
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
NIPS 2022
Corruption Robust Active Learning
NIPS 2021
Selective Sampling for Online Best-arm Identification
NIPS 2021
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
NIPS 2021
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
NIPS 2020
A New Perspective on Pool-Based Active Classification and False-Discovery Control
NIPS 2019
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
NIPS 2019
Sequential Experimental Design for Transductive Linear Bandits
NIPS 2019
A Bandit Approach to Sequential Experimental Design with False Discovery Control
NIPS 2018
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
NIPS 2017
The Power of Adaptivity in Identifying Statistical Alternatives
NIPS 2016
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
NIPS 2016
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
NIPS 2015
Query Complexity of Derivative-Free Optimization
NIPS 2012
Active Ranking using Pairwise Comparisons
NIPS 2011