Jianliang He
3 papers · 2024–2025 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Research topics
Keywords
function approximation
(1)
in-context learning
(1)
partially observable markov decision process
(1)
linear regression
(1)
regret bound
(1)
confidence set
(1)
epsilon-greedy exploration
(1)
large language model
(1)
bayesian optimality
(1)
average-reward markov decision process
(1)
generalized eluder coefficient
(1)
planners
(1)
actor
(1)
bayesian aggregated imitation learning
(1)
anisotropic covariates
(1)
gradient descent predictor
(1)
multi-head softmax attention
(1)
Papers
In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention
ICML 2025
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
ICML 2024
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
ICLR 2024