Junghyun Lee
8 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (19) π Interdisciplinary Bridge π Conference Polyglot (5)
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Cross-Pollinator
(9)
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Renaissance Researcher
(6)
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Grand Slam
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Trend Setter
Conferences
AISTATS (2)
ICLR (2)
NIPS (2)
AAAI (1)
ICML (1)
Top co-authors
Keywords
riemannian optimization
(1)
model compression
(1)
dimensionality reduction
(1)
reinforcement learning
(1)
online learning
(1)
principal component analysis
(1)
in-context learning
(1)
sample complexity
(1)
multinomial logistic regression
(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)
streaming algorithm
(1)
convolutional neural network
(1)
noisy power method
(1)
confidence set
(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
NIPS 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
NIPS 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