Harpreet S. Dhillon - Useful Links

This page lists some useful resources, including copies of some interesting books and monographs made public by their authors.

Some Useful Books and Monographs (Available Online)

Communications, Networking and Information Theory

• Fundamentals of Wireless Communication by David Tse and Pramod Viswanath

• Data Networks by Dimitri P. Bertsekas and Robert G. Gallager

• Information Theory, Inference, and Learning Algorithms by David MacKay (Course Videos)

• A First Course in Information Theory by Raymond Yeung

• Lecture Notes on Network Information Theory by Abbas El Gamal and Young-Han Kim

• Interference Alignment: A New Look at Signal Dimensions in a Communication Network by Syed A. Jafar

Probability, Random Processes and Measure Theory

• Probability with Engineering Applications by Bruce Hajek

• Random Processes for Engineers by Bruce Hajek

• Probability, Random Processes, and Ergodic Properties by Robert M. Gray

• Introduction to Statistical Signal Processing by Robert M. Gray and L. D. Davisson

• Probability: Theory and Examples by Rick Durrett

• An Introduction to Measure Theory by Terence Tao

Machine Learning

• Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville

• The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman

• An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani

• Pattern Recognition and Machine Learning by Christopher M. Bishop

• Bayesian Reasoning and Machine Learning by David Barber

• Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David

• Gaussian Processes for Machine Learning by Carl Edward Rasmussen and Christopher K. I. Williams

• Graphical Models, Exponential Families, and Variational Inference by Martin J. Wainwright and Michael I. Jordan

• Statistical Learning Theory by Bruce Hajek and Maxim Raginsky

• Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong

• Foundations of Data Science by Avrim Blum, John Hopcroft, and Ravindran Kannan

Stochastic Geometry

• Stochastic Geometry and Wireless Networks: Volume I (Theory) by F. Baccelli and B. Blaszczyszyn

• Stochastic Geometry and Wireless Networks: Volume II (Applications) by F. Baccelli and B. Blaszczyszyn

• Random Measures, Point Processes, and Stochastic Geometry by F. Baccelli, B. Blaszczyszyn and M. Karray

• Interference in Large Wireless Networks by Martin Haenggi and Radha Krishna Ganti

• Lectures on the Poisson Process by Günter Last and Mathew Penrose

• Transmission Capacity of Wireless Networks by Steven Weber and Jeffrey G. Andrews

Markov Chains and Queuing Theory

• Introduction to Queueing Theory by Robert Cooper

• Reversibility and Stochastic Networks by Frank Kelly

• Markov Chains and Stochastic Stability by Sean P. Meyn and Richard Tweedie

• Reversible Markov Chains and Random Walks on Graphs by David J. Aldous and James A. Fill

Optimization

• Convex Optimization by Stephen Boyd and Lieven Vandenberghe

• Lectures on Modern Convex Optimization by Aharon Ben-Tal and Arkadi Nemirovski

Other Topics

• Introduction to Applied Linear Algebra by Stephen Boyd and Lieven Vandenberghe

• Topics in Random Matrix Theory by Terence Tao

• Graph Theory by Reinhard Diestel

• Concentration-of-Measure Inequalities by Gabor Lugosi

• Sustainable Energy – without the hot air by David MacKay

• generatingfunctionology by Herbert Wilf

• Networks, Crowds, and Markets: Reasoning About a Highly Connected World by David Easley and Jon Kleinberg

• Network Science by Albert-László Barabási

• Thirty-three Miniatures by Jiri Matousek

Other Useful Links

• Probability Web Links

• Terence Tao's Blog

• List of queueing theory books available online

• Online video courses: Coursera, edX, Udacity, NPTEL

• Wolfram online tools: WolframAlpha and Mathematica Online Integrator

• Magazines: Wired, TechnologyReview, Connected World

• Youtube videos on Measure Theory, Machine Learning and Information Theory

• gatesnotes, goodreads