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Marvels and Pitfalls of the Langevin Algorithm in Noisy High-Dimensional Inference

Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

2020Physical Review X25 citationsDOIOpen Access PDF

Abstract

A tool for benchmarking one of the algorithms most commonly used in machine-learning provides insight into its performance and could lead to a better theoretical understanding of how similar algorithms work.

Topics & Concepts

AlgorithmComputer scienceBenchmarkingInferenceNoise (video)Langevin dynamicsNoisy dataSignal processingArtificial intelligenceStatistical inferenceBenchmark (surveying)Optimization algorithmSelection (genetic algorithm)Blind Source Separation TechniquesSparse and Compressive Sensing TechniquesBayesian Methods and Mixture Models
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