Xiliang Lu
5 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(12)
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Research topics
Keywords
representation learning
(1)
offline reinforcement learning
(1)
feature selection
(1)
function approximation
(1)
sparse regression
(1)
high-dimensional regression
(1)
support detection
(1)
bellman residual
(1)
excess risk bound
(1)
sparse linear regression
(1)
optimization algorithm
(1)
pre-trained language model
(1)
neural network approximation
(1)
trainable parameter
(1)
parameterized quantum circuit
(1)
offset rademacher complexity
(1)
l0 penalty
(1)
l0 penalized regression
(1)
primal-dual information
(1)
oracle estimator
(1)
Papers
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
AAAI 2024
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
NeurIPS 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
COLING 2024
Fast Excess Risk Rates via Offset Rademacher Complexity
ICML 2023
A Constructive Approach to L_0 Penalized Regression
JMLR 2018