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Author:   Miguel R. D. Rodrigues (University College London) ,  Yonina C. Eldar (Weizmann Institute of Science, Israel)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 17.60cm , Height: 3.40cm , Length: 25.00cm
Weight:   1.100kg
ISBN:  

9781108427135

ISBN 10:   1108427138
Pages:   560
Publication Date:   08 April 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order  
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Table of Contents

1. Introduction Miguel Rodrigues, Stark Draper, Waheed Bajwa and Yonina Eldar; 2. An information theoretic approach to analog-to-digital compression Alon Knipis, Yonina Eldar and Andrea Goldsmith; 3. Compressed sensing via compression codes Shirin Jalali and Vincent Poor; 4. Information-theoretic bounds on sketching Mert Pillanci; 5. Sample complexity bounds for dictionary learning from vector- and tensor-valued data Zahra Shakeri, Anand Sarwate and Waheed Bajwa; 6. Uncertainty relations and sparse signal recovery Erwin Riegler and Helmut Bölcskei; 7. Understanding phase transitions via mutual Information and MMSE Galen Reeves and Henry Pfister; 8. Computing choice: learning distributions over permutations Devavrat Shah; 9. Universal clustering Ravi Raman and Lav Varshney; 10. Information-theoretic stability and generalization Maxim Raginsky, Alexander Rakhlin and Aolin Xu; 11. Information bottleneck and representation learning Pablo Piantanida and Leonardo Rey Vega; 12. Fundamental limits in model selection for modern data analysis Jie Ding, Yuhong Yang and Vahid Tarokh; 13. Statistical problems with planted structures: information-theoretical and computational limits Yihong Wu and Jiaming Xu; 14. Distributed statistical inference with compressed data Wenwen Zhao and Lifeng Lai; 15. Network functional compression Soheil Feizi and Muriel Médard; 16. An introductory guide to Fano's inequality with applications in statistical estimation Jonathan Scarlett and Volkan Cevher.

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Author Information

Miguel R. D. Rodrigues is a Reader in Information Theory and Processing in the Department of Electronic and Electrical Engineering, University College London, and a Faculty Fellow at the Turing Institute, London. Yonina C. Eldar is a Professor in the Faculty of Mathematics and Computer Science at the Weizmann Institute of Science, a Fellow of the IEEE and Eurasip, and a member of the Israel Academy of Sciences and Humanities. She is the author of Sampling Theory (Cambridge, 2015), and co-editor of Convex Optimization in Signal Processing and Communications (Cambridge, 2009), and Compressed Sensing (Cambridge, 2012).

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