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Simple, Fast, and Flexible Framework for Matrix Completion with Infinite
  Width Neural Networks
v1v2 (latest)

Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks

31 July 2021
Adityanarayanan Radhakrishnan
George Stefanakis
M. Belkin
Caroline Uhler
ArXiv (abs)PDFHTML

Papers citing "Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks"

4 / 4 papers shown
Title
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
Guanhao Zhou
Yuefeng Han
Xiufan Yu
CML
160
0
0
26 May 2025
Kernels, Data & Physics
Kernels, Data & Physics
Francesco Cagnetta
Deborah Oliveira
Mahalakshmi Sabanayagam
Nikolaos Tsilivis
Julia Kempe
98
0
0
05 Jul 2023
Randomly pivoted Cholesky: Practical approximation of a kernel matrix
  with few entry evaluations
Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
Yifan Chen
Ethan N. Epperly
J. Tropp
R. Webber
123
33
0
13 Jul 2022
Infinite Recommendation Networks: A Data-Centric Approach
Infinite Recommendation Networks: A Data-Centric Approach
Noveen Sachdeva
Mehak Preet Dhaliwal
Carole-Jean Wu
Julian McAuley
DD
110
28
0
03 Jun 2022
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