Yifan Chen
@yifanc96
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RT @StatMLPapers: Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias
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@OwhadiGroup @HoumanOwhadi And also the recent progress for scaling up to millions of data by preconditioning! See
New paper out with @mateodd25, Zach Frangella, Joel Tropp, and Rob Webber on randomized preconditioners for kernel ridge regression! Our goal was to develop simple preconditioners that are robust to different parameter choices for the kernel model
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RT @OwhadiGroup: Provably accelerating Gaussian process and kernel methods to near-linear complexity, even with der…
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RT @ethanepperly: New preprint up about a simple, efficient, and (surprisingly) effective algorithm for positive semidefinite (psd) low-ran…
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RT @OwhadiGroup: @yifanc96 successfully passed his candidacy today with his talk on Numerical Computation via Inference! Congratulations, Y…
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RT @OwhadiGroup: We are going to #siamuq22! @yifanc96 will present on solving nonlinear PDEs and inverse problems with Gaussian Processes (…
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RT @OwhadiGroup: Congratulations to our advisor @HoumanOwhadi for being elected to the 2022 Class of SIAM Fellows!
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