Ruiquan Huang
13 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (7)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(5)
🏆
Grand Slam
🤝
Dynamic Duo
(12)
💎
Century Club
(13)
⚡
Prolific Year
(5)
Conferences
ICLR (4)
ICML (4)
NIPS (3)
AAAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
regret bound
(3)
federated learning
(3)
differential privacy
(2)
reinforcement learning
(2)
linear contextual bandit
(2)
contextual bandit
(2)
neural network security
(1)
online prediction
(1)
sequential decision-making
(1)
dynamic regret
(1)
adversarial perturbation
(1)
local privacy
(1)
optimal design
(1)
backdoor attack
(1)
neural network optimization
(1)
deep neural network
(1)
convergence analysis
(1)
multi-armed bandit
(1)
function approximation
(1)
online learning
(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
NIPS 2024
Temporal-Distributed Backdoor Attack against Video Based Action Recognition
AAAI 2024
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
ICLR 2024
Non-asymptotic Convergence of Training Transformers for Next-token Prediction
NIPS 2024
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
ICLR 2024
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
ICLR 2023
Non-stationary Reinforcement Learning under General Function Approximation
ICML 2023
Federated Linear Contextual Bandits with User-level Differential Privacy
ICML 2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
ICML 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
ICLR 2023
Federated Linear Contextual Bandits
NIPS 2021