Reference change · 10.1073/pnas.2303904120

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Faster Linear Algebra Algorithms with Structured Random Matrices

ref [21] · 2508.21189 · notice #8541 · dispute

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T OWNSEND , Operator learning without the adjoint , Journal of Ma- chine Learning Research, 25 (2024), pp. 1-54,https://doi.org/https://dl.acm.org/doi/abs/10.5555/3722577. 3722941. (Cited on page 34.) [21] N. B OULLÉ , D. H ALIKIAS , AND A. T OWNSEND , Elliptic PDE learning is provably data-efficient, Proceedings of the National Academy of Sciences, 120 (2023), p. e2303904120, https://doi.org/10.1073/pnas.2303904120. (Cited on page 34.) [22] T. B RAILOVSKAYA AND R. VAN HANDEL , Universality and sharp matrix concentration inequalities , Geom. Funct. Anal., 34 (2024), pp. 1734-1838, https://doi.org/10.1007/s00039-024-00692-9 , https://doi.org/10.1007/ s00039-024-00692-9 . (Cited on page 46.) [23] S. B RAVYI , A. C HOWDHURY , D. G OSSET , AND P . WOCJAN , Quantum Hamiltonian complexity in thermal equilibrium, Na-

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T OWNSEND, Operator learning without the adjoint, Journal of Ma- chine Learning Research, 25 (2024), pp. 1-54,https://doi.org/https://dl.acm.org/doi/abs/10.5555/3722577. 3722941. (Cited on page 34.) [21] N. B OULLÉ, D. H ALIKIAS, AND A. T OWNSEND, Elliptic PDE learning is provably data-efficient, Proceedings of the National Academy of Sciences, 120 (2023), p. e2303904120, https://doi.org/10.1073/pnas.2303904120. (Cited on page 34.) [22] T. B RAILOVSKAYA AND R. VAN HANDEL, Universality and sharp matrix concentration inequalities, Geom. Funct. Anal., 34 (2024), pp. 1734-1838, https://doi.org/10.1007/s00039-024-00692-9, https://doi.org/10.1007/ s00039-024-00692-9 . (Cited on page 46.) [23] S. B RAVYI, A. C HOWDHURY, D. G OSSET, AND P . WOCJAN, Quantum Hamiltonian complexity in thermal equilibrium, Na-

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