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Section 3b: The convex conjugate and the variational bound

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Section 3b: The convex conjugate and the variational bound

DEV Community: deeplearning·Dinesh Kumar Sarangapani·5 days ago

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I am working through Mathematical Foundations of Generative AI, Prof. Prathosh AP's public lectures....

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The 90-year-old idea behind JEPA models: Canonical Correlation Analysis (CCA) – Shon Czinner’s Blog

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The 90-year-old idea behind JEPA models: Canonical Correlation Analysis (CCA) – Shon Czinner’s Blog

Hacker News·4 months ago

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Harold Hotelling’s 1936 Canonical Correlation Analysis (CCA) forms the theoretical and intuitive foundation for modern embedding prediction techniques, including JEPA models.

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Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition

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Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition

DEV Community·Kasiuk Vadim·6 months ago

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From Dev.to - ai: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition

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#MathBb

Section 3b: The convex conjugate and the variational bound

The 90-year-old idea behind JEPA models: Canonical Correlation Analysis (CCA) – Shon Czinner’s Blog

Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition