Information-Theoretic Methods in Data Science
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Published By Cambridge University Press

9781108616799, 9781108427135

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Preface

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.001 ◽

2021 ◽

pp. xiii-xvi

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Uncertainty Relations and Sparse Signal Recovery

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.007 ◽

2021 ◽

pp. 163-196

Author(s):

Erwin Riegler ◽

Helmut Bökei

Keyword(s):

Sparse Signal ◽

Sparse Signal Recovery ◽

Uncertainty Relations ◽

Signal Recovery

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Information Bottleneck and Representation Learning

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.012 ◽

2021 ◽

pp. 330-358

Author(s):

Pablo Piantanida ◽

Leonardo Rey Vega

Keyword(s):

Representation Learning ◽

Information Bottleneck

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Fundamental Limits in Model Selection for Modern Data Analysis

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.013 ◽

2021 ◽

pp. 359-382

Author(s):

Jie Ding ◽

Yuhong Yang ◽

Vahid Tarokh

Keyword(s):

Data Analysis ◽

Model Selection ◽

Fundamental Limits ◽

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Computing Choice: Learning Distributions over Permutations

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.009 ◽

2021 ◽

pp. 229-262

Author(s):

Devavrat Shah

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Information-Theoretic Bounds on Sketching

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.005 ◽

2021 ◽

pp. 104-133

Author(s):

Mert Pilanci

Keyword(s):

Information Theoretic

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Universal Clustering

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.010 ◽

2021 ◽

pp. 263-301

Author(s):

Ravi Kiran Raman ◽

Lav R. Varshney

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An Information-Theoretic Approach to Analog-to-Digital Compression

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.003 ◽

2021 ◽

pp. 44-71

Author(s):

Alon Kipnis ◽

Yonina C. Eldar ◽

Andrea J. Goldsmith

Keyword(s):

Theoretic Approach ◽

Analog To Digital ◽

Information Theoretic ◽

Digital Compression ◽

Information Theoretic Approach

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Compressed Sensing via Compression Codes

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.004 ◽

2021 ◽

pp. 72-103

Author(s):

Shirin Jalali ◽

H. Vincent Poor

Keyword(s):

Compressed Sensing

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Information-Theoretic Stability and Generalization

Information-Theoretic Methods in Data Science ◽

10.1017/9781108616799.011 ◽

2021 ◽

pp. 302-329

Author(s):

Maxim Raginsky ◽

Alexander Rakhlin ◽

Aolin Xu

Keyword(s):

Information Theoretic

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