Cheuk Ting Li
8 papers · 2023–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(22)
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Deep Learning
(5)
Models
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Core AI
(2)
Mathematics
(2)
Security & Privacy
(1)
Architectures
(1)
Core Methods
(1)
Differential Privacy
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
generative model
(4)
generative adversarial network
(2)
differential clustering
(2)
differential privacy
(2)
wasserstein distance
(2)
compression scheme
(1)
quadratic optimization
(1)
distributed learning
(1)
kernel-based methods
(1)
mixture distribution
(1)
communication complexity
(1)
optimization landscape
(1)
multi-armed bandit
(1)
upper confidence bound
(1)
mixture model
(1)
regret bound
(1)
multimodal distribution
(1)
spectral method
(1)
communication compression
(1)
gradient descent
(1)
Papers
Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms
ICLR 2025
Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
CVPR 2025
An Interpretable Evaluation of Entropy-based Novelty of Generative Models
ICML 2024
Compression with Exact Error Distribution for Federated Learning
AISTATS 2024
On Convergence in Wasserstein Distance and f-divergence Minimization Problems
AISTATS 2024
Universal Exact Compression of Differentially Private Mechanisms
NeurIPS 2024
An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions
NeurIPS 2023
Mode-Seeking Divergences: Theory and Applications to GANs
AISTATS 2023