Ruiquan Huang
13 papers · 2021–2025 · 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· Bronze πΊοΈ Taxonomy Completionist (32) π€ Dynamic Duo (12) π Grand Slam
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Keyword Collector
(69)
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Prolific Year Β· Productive
π
Renaissance Researcher
(6)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(10)
Learning Types
(8)
Artificial Intelligence
(7)
Reinforcement Learning
(4)
Core AI
(4)
Methods
(4)
Learning Paradigms Β· Artificial Intelligence
(3)
Deep Learning
(2)
Learning Paradigms Β· Machine Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Analysis
(1)
Keywords
regret bound
(3)
federated learning
(3)
linear contextual bandit
(3)
sample complexity
(3)
markov decision process
(3)
differential privacy
(2)
reinforcement learning
(2)
online learning
(2)
safe exploration
(2)
sequential decision making
(2)
predictive state representation
(2)
contextual bandit
(2)
neural network optimization
(1)
transformer
(1)
offline reinforcement learning
(1)
convergence analysis
(1)
adversarial learning
(1)
gradient descent
(1)
function approximation
(1)
system identification
(1)
Papers
Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis
UAI 2025
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias
ICML 2025
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups
NeurIPS 2024
Non-asymptotic Convergence of Training Transformers for Next-token Prediction
NeurIPS 2024
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
ICLR 2024
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
ICLR 2024
Temporal-Distributed Backdoor Attack against Video Based Action Recognition
AAAI 2024
Federated Linear Contextual Bandits with User-level Differential Privacy
ICML 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
ICLR 2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
ICML 2023
Non-stationary Reinforcement Learning under General Function Approximation
ICML 2023
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
ICLR 2023
Federated Linear Contextual Bandits
NeurIPS 2021