Jongyeong Lee
8 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
Top co-authors
Research topics
Machine Learning
(8)
Learning Types · Machine Learning
(6)
Optimization & Theory
(6)
Mathematics & Optimization
(4)
Optimization
(4)
Artificial Intelligence
(3)
Core AI
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
multi-armed bandit
(4)
regret bound
(4)
thompson sampling
(3)
online learning
(2)
noninformative prior
(2)
document classification
(1)
classification calibration
(1)
auc optimization
(1)
excess risk bound
(1)
adaptive learning rate
(1)
best arm identification
(1)
expert advice
(1)
symmetric loss
(1)
asymptotic optimality
(1)
follow the perturbed leader
(1)
stochastic bandit
(1)
adversarial bandit
(1)
pareto distribution
(1)
auc maximization
(1)
geometric resampling
(1)
Papers
Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader
COLT 2026
Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
ICML 2025
Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds
COLT 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
AAAI 2024
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
ICML 2023
Thompson Exploration with Best Challenger Rule in Best Arm Identification
ACML 2023
Learning Only from Relevant Keywords and Unlabeled Documents
EMNLP 2019
On Symmetric Losses for Learning from Corrupted Labels
ICML 2019