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Beyond Power Laws: Scaling Laws for Next-Token Prediction (francisbach.com)
2 points by frozenseven 4 months ago | past
The unreasonable effectiveness of Richardson extrapolation (francisbach.com)
1 point by d_tr 9 months ago | past
Learning Theory from First Principles (francisbach.com)
3 points by rzk on Jan 6, 2025 | past
Scaling Laws of Optimization (francisbach.com)
11 points by matt_d on Oct 6, 2024 | past | 1 comment
Revisiting the Classics: Jensen's Inequality (2023) (francisbach.com)
89 points by cpp_frog on Aug 21, 2024 | past | 8 comments
Unraveling spectral properties of kernel matrices (francisbach.com)
1 point by lnyan on Jan 8, 2024 | past
Revisiting the Classics: Jensen’s Inequality (francisbach.com)
1 point by cpp_frog on March 14, 2023 | past
Rethinking SGD’s Noise (francisbach.com)
1 point by matt_d on July 25, 2022 | past
Polynomial magic I: Chebyshev polynomials (francisbach.com)
2 points by vector_spaces on Dec 23, 2021 | past
The many faces of integration by parts – I: Abel transformation (francisbach.com)
1 point by mariuz on Aug 5, 2020 | past
Gradient descent for wide two-layer neural networks – I: Global convergence (francisbach.com)
1 point by matt_d on June 1, 2020 | past
Computer-Aided Analyses in Optimization (francisbach.com)
5 points by matt_d on April 3, 2020 | past
On the unreasonable effectiveness of Richardson extrapolation (francisbach.com)
5 points by matt_d on March 1, 2020 | past
The sum of a geometric series is all you need (francisbach.com)
1 point by matt_d on Jan 6, 2020 | past
Polynomial Magic II: Jacobi Polynomials (francisbach.com)
2 points by matt_d on Dec 2, 2019 | past
Polynomial magic I: Chebyshev polynomials (francisbach.com)
3 points by matt_d on Nov 4, 2019 | past

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