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Profile
Kwang-Sung Jun
Assistant Professor, Computer Science | Member of the Graduate Faculty
Computer Science
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Overview
Research
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Collaboration
(16)
Hao Zhang
Mutual work: 3 Proposals
Collaboration Details
Clayton Morrison
Mutual work: 2 Proposals
Collaboration Details
Larry Head
Mutual work: 1 Proposal
Collaboration Details
Michael Chertkov
Mutual work: 1 Proposal
Collaboration Details
Mihai Surdeanu
Mutual work: 2 Proposals
Collaboration Details
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Grants
(1)
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Publications
(45)
Recent
Better-than-KL PAC-Bayes bounds
2024
bayesian learning,
algorithm analysis
Improved Regret Bounds of Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
2024
bandit algorithms,
regret bounds,
confidence sets
Adaptive Experimentation When You Can't Experiment
2024
observational studies,
quantitative analysis
Efficient low-rank matrix estimation, experimental design, and arm-set-dependent low-rank bandits
2024
experimental design,
bandit algorithms,
machine learning,
optimization
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
2024
linear bandits,
bayesian
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
2024
statistical inference,
bandit algorithms,
generalized linear models,
machine learning
Kullback-leibler maillard sampling for multi-armed bandits with bounded rewards
2024
reinforcement learning,
stochastic processes,
optimization,
probability theory,
data sampling
Tighter PAC-Bayes bounds through coin-betting
2023
stochastic processes
Revisiting Simple Regret: Fast Rates for Returning a Good Arm
2023
multi-armed bandits,
regret minimization,
machine learning,
online learning,
algorithm analysis
Norm-agnostic linear bandits
2022
bandit algorithms,
linear models
