Cavity and variational methods

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (29)

Page 2 of 3

Variational Formulation: Information Measures

Explores variational formulation for measuring information content and divergence between probability distributions.

Entropy Bounds: Conditional Entropy Theorems

Explores entropy bounds, conditional entropy theorems, and the chain rule for entropies, illustrating their application through examples.

Bipartite systems - Entanglement

Covers the concept of entanglement in bipartite systems, focusing on entropy and Schmidt decomposition.

Cluster Complexity Analysis

Covers the analysis of cluster complexity in random graph coloring.

Information Measures

Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.

Introduction to Data Science

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Replica Symmetry Breaking: Full Solution & Condensation

Explores Replica Symmetry Breaking in the Random Energy Model, discussing configurational entropy and condensation.

Curie Weiss Model

Covers the Curie-Weiss model in Statistical Physics, including magnetization probability, free entropy, and the cavity method.

Graph Coloring: Random vs Symmetrical

Compares random and symmetrical graph coloring in terms of cluster colorability and equilibrium.

Entropy in Thermodynamics

Explores entropy in thermodynamics, including Gibbs equations, ideal gases, and entropy balance in closed systems.