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Statistical Inference, Learning and Models in Big Data

Statistical Inference, Learning and Models in Big Data

9 September 2015
B. Franke
Jean‐François Plante
R. Roscher
Annie Lee
Cathal Smyth
Armin Hatefi
Fuqi Chen
Einat Gil
Alex Schwing
A. Selvitella
Michael M. Hoffman
Roger C. Grosse
Dieter Hendricks
Nancy Reid
    AI4CE
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Papers citing "Statistical Inference, Learning and Models in Big Data"

3 / 3 papers shown
Title
Distributed Out-of-Memory NMF on CPU/GPU Architectures
Distributed Out-of-Memory NMF on CPU/GPU Architectures
Ismael Boureima
Manish Bhattarai
M. Eren
E. Skau
Philip Romero
S. Eidenbenz
Boian Alexandrov
39
6
0
19 Feb 2022
Sequential Estimation under Multiple Resources: a Bandit Point of View
Sequential Estimation under Multiple Resources: a Bandit Point of View
Alireza Masoumian
Shayan Kiyani
Mohammad Hossein Yassaee
39
1
0
29 Sep 2021
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
125
161
0
17 Jan 2013
1