Ahmed El Alaoui
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| title | conference | date |
|---|---|---|
| Tutorial: Methods from Statistical Physics I | Deep Learning Theory Workshop and Summer School 2022 | 2022-08-01 |
Introduces the Gaussian additive model with explicit posterior as a Gibbs measure and defines partition function Z and free energy F = E log Z; shows F′ and F″… | ||
| Tutorial: Methods from Statistical Physics II | Deep Learning Theory Workshop and Summer School 2022 | 2022-08-01 |
Dense rank‑one Gaussian model (spiked Wigner): observations Y = (λ/n) x0 x0^T + W, x0 i.i.d. prior. Bayes free energy obeys a replica symmetric formula… | ||
| Tutorial: Methods from Statistical Physics III | Deep Learning Theory Workshop and Summer School 2022 | 2022-08-01 |
Derives the AMP memory term by converting pairwise message passing on the complete graph into a bulk update, tracking backtracking loops and using A_ij ~… | ||
| Incremental Approximate Message Passing | Computational Phase Transitions (Simons Institute, 2020) | 2020-09-21 |
A practical incremental AMP algorithm queries a gradient oracle O(poly(n,1/ε)) times (iterations about O(ε⁻²)), uses orthogonal updates and an Onsager reaction… | ||
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