- Toronto, ON, Canada
- https://yorkerlin.github.io/
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emtiyaz/cvi
emtiyaz/cvi PublicCode for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"
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iBayesLRule
iBayesLRule PublicCode for ICML 2020 paper on “Handling the Positive-Definite Constraint in the Bayesian Learning Rule”
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StructuredNGD-DL
StructuredNGD-DL PublicMatrix-multiplication-only KFAC; Code for ICML 2023 paper on Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
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remove-the-square-root
remove-the-square-root PublicSquare-root-free Adaptive Methods; Experiment code for ICML 2024 paper on Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
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KL-Methods
KL-Methods PublicCode for ICLR 2026 paper on "Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization"
Python 1
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