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Quantized Estimation of Gaussian Sequence Models in Euclidean Balls

Quantized Estimation of Gaussian Sequence Models in Euclidean Balls

Neural Information Processing Systems (NeurIPS), 2014
24 September 2014
Yuancheng Zhu
John D. Lafferty
ArXiv (abs)PDFHTML

Papers citing "Quantized Estimation of Gaussian Sequence Models in Euclidean Balls"

4 / 4 papers shown
Minimax Optimal Quantization of Linear Models: Information-Theoretic
  Limits and Efficient Algorithms
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms
R. Saha
Mert Pilanci
Andrea J. Goldsmith
MQ
254
4
0
23 Feb 2022
Gaussian Approximation of Quantization Error for Estimation from
  Compressed Data
Gaussian Approximation of Quantization Error for Estimation from Compressed DataIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
A. Kipnis
Galen Reeves
402
12
0
09 Jan 2020
Nonparametric Inference under B-bits Quantization
Nonparametric Inference under B-bits Quantization
Kexuan Li
Ruiqi Liu
Ganggang Xu
Zuofeng Shang
MQ
216
0
0
24 Jan 2019
Quantized Nonparametric Estimation over Sobolev Ellipsoids
Quantized Nonparametric Estimation over Sobolev Ellipsoids
Yuancheng Zhu
John D. Lafferty
323
2
0
25 Mar 2015
1
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