Aaman Rebello

Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning

Hyperparameter optimisation is a prerequisite for state-of-the- art performance in machine learning, with current strategies including Bayesian optimisation, hyperband, and evolutionary methods. While such methods have been shown to improve performance, none of these is designed to explicitly take a…