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Numerical Optimization

Numerical Optimization

Jorge Nocedal & Stephen J. Wright

Springer Series in Operations Research (1)

Physics-based Deep Learning

Physics-based Deep Learning

N. Thuerey, B. Holzschuh, P. Holl, G. Kohl, M. Lino, Q. Liu, ...

Why Greatness Cannot Be Planned: The Myth of the Objective

Why Greatness Cannot Be Planned: The Myth of the Objective

Kenneth O. Stanley & Joel Lehman

Computational Methods for Electromagnetic Inverse Scattering

Computational Methods for Electromagnetic Inverse Scattering

Xudong Chen

Publisher: MIT Press

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Introduction to Algorithms, Third Edition

Introduction to Algorithms, Third Edition

Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein

Machine Learning, Second Edition: A Probabilistic Perspective

Machine Learning, Second Edition: A Probabilistic Perspective

Kevin P. Murphy

Proof and the Art of Mathematics: Examples and Extensions

Proof and the Art of Mathematics: Examples and Extensions

Joel David Hamkins

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

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