David Kewei Lin
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Learning Theory
Posts exploring the theoretical underpinnings of machine learning and statistical inference.
Online Learning and Statistical Physics
Oct 21, 2025
exposition
learning-theory
optimization
stat-physics
Asymptotic Theory and AIC
Jan 23, 2025
exposition
learning-theory
Understanding the fundamental integral in singular learning
Dec 30, 2024
exposition
learning-theory
SLT
The generalization error computation for linear models
Dec 21, 2024
exposition
learning-theory
BTS III: Some loose ends
Oct 22, 2024
exposition
learning-theory
BTS II: An introduction to learning theory
Oct 5, 2024
exposition
learning-theory
Behind the Scenes of SMO Q4, Part 1: the Proposal Backstory
Sep 28, 2024
exposition
learning-theory
problem-proposal
Minimax duality from online learning
Jan 24, 2024
exposition
learning-theory
optimization