A Bayesian Optimization Through Sequential Monte Carlo and Statistical Physics-Inspired Techniques.
Anton LebedevMustafa Emre SahinThomas WarfordPublished in: ICCS (5) (2023)
Keyphrases
- sequential monte carlo
- statistical physics
- particle filter
- game theory
- deterministic annealing
- visual tracking
- information theory
- learning curves
- posterior distribution
- global optimization
- importance sampling
- posterior probability
- gaussian processes
- machine learning
- belief propagation
- probability distribution
- computer vision