Matrix Calculus (for Machine Learning and Beyond)
Alan Edelman, Steven G. Johnson
Entropy and Diversity: The Axiomatic Approach
Tom Leinster
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Algorithms for Convex Optimization
Nisheeth K. Vishnoi
Collection of Problems in Probability Theory
L. D. Meshalkin
Reading, Writing, and Proving: A Closer Look at Mathematics
Ulrich Daepp & Pamela Gorkin
Combinatorial Optimization: Theory and Algorithms
Bernhard Korte & Jens Vygen
Algorithms and Combinatorics (2)