Hessian Matrix Inversion in 10^10 Dimensions with Parametric Bootstraps

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United States Simons Institute for the Theory of Computing
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Published on ● Video Link: https://www.youtube.com/watch?v=EW0LXr8P0fY


Duration: 33:27
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Uros Seljak (UC Berkeley)
https://simons.berkeley.edu/talks/hessian-matrix-inversion-1010-dimensions-parametric-bootstraps
Randomized Numerical Linear Algebra and Applications



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Tags:
Randomized Numerical Linear Algebra and Applications
Uros Seljak
Simons Institute
Theory of Computing
Theory of Computation
Theoretical Computer Science
Computer Science
UC Berkeley