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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
(19)
Hao Zhang
Mutual work: 3 Proposals
Collaboration Details
Clayton Morrison
Mutual work: 2 Proposals
Collaboration Details
Michael Chertkov
Mutual work: 1 Proposal
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Larry Head
Mutual work: 1 Proposal
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Mihai Surdeanu
Mutual work: 2 Proposals
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Grants
(2)
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Publications
(51)
Recent
Efficient low-rank matrix estimation, experimental design, and arm-set-dependent low-rank bandits
2024
experimental design,
bandit algorithms,
optimization,
machine learning
APPENDIX A: PROBABILISTIC ASSESSMENT OF POSTFIRE DEBRIS-FLOW INUNDATION IN RESPONSE TO FORECAST RAINFALL
2024
debris flow,
postfire assessment,
rainfall forecast,
inundation
Adaptive Experimentation When You Can't Experiment
2024
limitations,
alternative methods,
statistical modeling,
decision making
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning
2024
applications
Better-than-KL PAC-Bayes bounds
2024
bounds,
statistical learning,
risk management
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
2024
linear bandits,
adaptive methods
Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification
2024
stochastic processes,
decision making,
statistical inference,
optimization,
machine learning
Improved regret bounds of multinomial) logistic bandits via regret-to-confidence-set conversion
2024
bandit algorithms,
regret bounds,
logistic regression,
confidence sets
Kullback-leibler maillard sampling for multi-armed bandits with bounded rewards
2024
reinforcement learning,
bandit algorithms,
probability theory,
stochastic processes,
machine learning
Minimum Empirical Divergence for Sub-Gaussian Linear Bandits
2024
linear bandits
