Lingzhou Xue
7 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(14)
🏆
Keyword Champion
(4)
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Reinforcement Learning
(3)
Methods
(3)
Optimization
(3)
Artificial Intelligence
(2)
Core AI
(2)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Learning Paradigms
(1)
Probability
(1)
Keywords
communication cost
(4)
regret bound
(3)
sub-optimality gap
(2)
reference-advantage decomposition
(2)
markov decision process
(2)
federated q-learning
(2)
granger causality
(1)
variance reduction
(1)
sparse pca
(1)
nonsmooth optimization
(1)
regret
(1)
temporal dependency
(1)
intensity function
(1)
multivariate point process
(1)
statistical accuracy
(1)
hawkes process
(1)
stiefel manifold
(1)
graphical event model
(1)
global model
(1)
personalized federated learning
(1)
Papers
Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost
ICLR 2025
Gap-Dependent Bounds for Federated Q-Learning
ICML 2025
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
ICLR 2025
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
ICML 2025
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
ICLR 2024
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
JMLR 2022
Hawkesian Graphical Event Models
PGM 2020