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Non-Convex Optimization for Machine Learning

Non-Convex Optimization for Machine Learning

Prateek Jain & Purushottam Kar

Elements of Programming Interviews: The Insiders' Guide

Elements of Programming Interviews: The Insiders' Guide

Adnan Aziz & Tsung-Hsien Lee & Amit Prakash

Entropy and Diversity: The Axiomatic Approach

Entropy and Diversity: The Axiomatic Approach

Tom Leinster

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Publisher: Springer Science & Business Media

Collection of Problems in Probability Theory

Collection of Problems in Probability Theory

L. D. Meshalkin

Reading, Writing, and Proving: A Closer Look at Mathematics

Reading, Writing, and Proving: A Closer Look at Mathematics

Ulrich Daepp & Pamela Gorkin

Reading, Writing, and Proving: A Closer Look at Mathematics

Reading, Writing, and Proving: A Closer Look at Mathematics

Ulrich Daepp & Pamela Gorkin

Combinatorial Optimization: Theory and Algorithms

Combinatorial Optimization: Theory and Algorithms

Bernhard Korte & Jens Vygen

Algorithms and Combinatorics (2)

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