Jonathan W. Pillow

Exploiting gradients and Hessians in Bayesian optimization and Bayesian quadrature

2017 · arXiv (Cornell University)

An exciting branch of machine learning research focuses on methods for learning, optimizing, and integrating unknown functions that are difficult or costly to evaluate. A popular Bayesian approach to this problem uses a Gaussian process …

Extracting computational mechanisms from neural data using low-rank RNNs

2022 · HAL (Le Centre pour la Communication Scientifique Directe)

International audience