Progress in Meta Learning part4(Machine Learning)
1.MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning (arXiv) Author : Adam X. Yang, Laurence Aitchison, Henry B. Moss Abstract : In Bayesian optimisation, we often seek to minimise the black-box objective functions that arise in real-world physical systems. A primary contributor to the cost of evaluating such black-box objective functions…
Progress in Meta Learning part4(Machine Learning) 1.MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning (arXiv) Author : Adam X. Yang, Laurence Aitchison, Henry B. Moss Abstract : In Bayesian optimisation, we often seek to minimise the black-box objective functions that arise in real-world physical systems. A primary contributor to the cost of evaluating such black-box objective functions… deep-learning
Progress Meta Learning part4Machine Learning 1MONGOOSE Pathwise Smooth Bayesian Optimisation via Metalearning arXiv Author Adam X Yang Laurence Aitchison Henry B Moss Abstract Bayesian optimisation often seek minimise blackbox objective function arise realworld physical system primary contributor cost evaluating blackbox objective functions… deeplearning