Licong Lin
7 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π Triple Crown
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The Questioner
Venues
Top co-authors
Research topics
Keywords
neural network optimization
(2)
convergence rate
(2)
offline reinforcement learning
(1)
logistic regression
(1)
minimax optimality
(1)
adaptive learning
(1)
bias-variance tradeoff
(1)
asymptotic normality
(1)
safety alignment
(1)
gradient descent
(1)
generalization error
(1)
statistical estimation
(1)
linear regression
(1)
thompson sampling
(1)
perceptron algorithm
(1)
model selection
(1)
stochastic gradient descent
(1)
scaling law
(1)
variance error
(1)
learning theory
(1)
Papers
Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes
JMLR 2026
Improving LLM Safety Alignment with Dual-Objective Optimization
ICML 2025
Plug-in Performative Optimization
ICML 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data
NeurIPS 2024
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
ICLR 2024
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
NeurIPS 2023
What Causes the Test Error? Going Beyond Bias-Variance via ANOVA
JMLR 2021