Jinglin Chen
10 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🏆
Grand Slam
🗃️
Keyword Collector
(50)
💎
Century Club
(10)
🔥
Unstoppable
(5)
Conferences
ICLR (2)
ICML (2)
AAAI (1)
EMNLP (1)
IJCAI (1)
JMLR (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
representation learning
(3)
sample efficiency
(2)
reward-free exploration
(2)
function approximation
(2)
reinforcement learning
(2)
offline reinforcement learning
(2)
low-rank mdp
(2)
probabilistic inference
(1)
markov decision process
(1)
learning theory
(1)
minimax optimization
(1)
importance sampling
(1)
value function
(1)
value iteration
(1)
thompson sampling
(1)
prompt engineering
(1)
distribution shift
(1)
batch reinforcement learning
(1)
marginal inference
(1)
value function approximation
(1)
Papers
Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding
EMNLP 2025
Model-Free Representation Learning and Exploration in Low-Rank MDPs
JMLR 2024
Reinforcement Learning in Low-rank MDPs with Density Features
ICML 2023
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
NIPS 2022
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
ICLR 2022
Offline reinforcement learning under value and density-ratio realizability: The power of gaps
UAI 2022
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
AAAI 2021
ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION
ICLR 2019
Information-Theoretic Considerations in Batch Reinforcement Learning
ICML 2019
Efficient Localized Inference for Large Graphical Models
IJCAI 2018