
Statistical Physics, Optimization, Inference, and Message-Passing Algorithms
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Content
- 1: Statistical inference with probablistic graphical moddels
- 2: Christopher Moore: Computational Complexity, Phase Transitions, and Message-Passing for Community Detection
- 3: Giorgio Parisi: Replica Theory and Spin Glasses
- 4: Marc Mezard: Cavity method: message passing from a physics perspective
- 5: Andrea Montanari: Statistical Estimation: From Dnoising to Sparse Regression and Hidden Cliques
- 6: Rudiger Urbanke: Error correcting codes and spatial coupling
- 7: Amin Coja-Oghlan: Contraint satisfaction - Random regular k-SAT
- 8: David Gamarnik: Local Algorithms for Graphs
- 9: Manfred Opper: Expectation Propagation
- 10: Riccardo Zecchina: A cavity approach to optimisation and inverse dynamical problems
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