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Denoising modulo samples: k-NN regression and tightness of SDP
  relaxation
v1v2 (latest)

Denoising modulo samples: k-NN regression and tightness of SDP relaxation

10 September 2020
Michaël Fanuel
Hemant Tyagi
ArXiv (abs)PDFHTML

Papers citing "Denoising modulo samples: k-NN regression and tightness of SDP relaxation"

3 / 3 papers shown
Title
Recovering Hölder smooth functions from noisy modulo samples
Recovering Hölder smooth functions from noisy modulo samples
Michaël Fanuel
Hemant Tyagi
44
1
0
02 Dec 2021
A Unified Approach to Synchronization Problems over Subgroups of the
  Orthogonal Group
A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group
Huikang Liu
Man-Chung Yue
Anthony Man-Cho So
117
30
0
16 Sep 2020
Learning with Semi-Definite Programming: new statistical bounds based on
  fixed point analysis and excess risk curvature
Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature
Stéphane Chrétien
Ning Zhang
Guillaume Lecué
Lucie Neirac
26
5
0
04 Apr 2020
1