Jinglin Chen
10 papers · 2018–2025 · 8 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 ↓+4 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze
π
Grand Slam
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory Β· Machine Learning
(8)
Reinforcement Learning
(5)
Learning Types Β· Machine Learning
(5)
Methods
(5)
Core Methods
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Optimization
(2)
Natural Language Processing
(1)
Learning Types Β· Deep Learning
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
reinforcement learning
(3)
representation learning
(3)
function approximation
(2)
sample efficiency
(2)
reward-free exploration
(2)
offline reinforcement learning
(2)
low-rank mdp
(2)
non-convex optimization
(1)
minimax optimization
(1)
learning theory
(1)
prompt engineering
(1)
markov decision process
(1)
importance sampling
(1)
value function
(1)
distribution shift
(1)
in-context learning
(1)
batch reinforcement learning
(1)
marginal inference
(1)
value function approximation
(1)
value iteration
(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
Offline reinforcement learning under value and density-ratio realizability: The power of gaps
UAI 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
NeurIPS 2022
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
ICLR 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