Junghyun Lee
8 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Grand Slam
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(5)
Deep Learning
(3)
Mathematics & Optimization
(3)
Learning Types
(3)
Reinforcement Learning
(2)
Architectures
(2)
Core Methods
(2)
Methods
(2)
Optimization
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Natural Language Processing
(1)
Robotics
(1)
Capabilities
(1)
Keywords
model compression
(1)
active learning
(1)
dimensionality reduction
(1)
multi-agent reinforcement learning
(1)
reinforcement learning
(1)
online learning
(1)
principal component analysis
(1)
in-context learning
(1)
sample complexity
(1)
deep learning
(1)
multinomial logistic regression
(1)
uncertainty reduction
(1)
maximum mean discrepancy
(1)
online learning algorithm
(1)
manifold optimization
(1)
model inference
(1)
choice modeling
(1)
multi-armed bandit
(1)
regret bound
(1)
riemannian optimization
(1)
Papers
FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
ICLR 2025
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
AISTATS 2024
Querying Easily Flip-flopped Samples for Deep Active Learning
ICLR 2024
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
NeurIPS 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
NeurIPS 2023
Nearly Optimal Latent State Decoding in Block MDPs
AISTATS 2023
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold
AAAI 2022
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
ICML 2022