Matthew MacKay

Publication Activity (10 Years)

Years Active: 2018-2019
Publications (10 Years): 5

Top Topics

Recurrent Neural Networks

Long Short Term Memory

Gaussian Process

Top Venues

ACM Comput. Surv.

Publications

Matthew MacKay, Paul Vicol, Jonathan Lorraine, David Duvenaud, Roger B. Grosse
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions. CoRR (2019)
Jin-Hee Cho, Shouhuai Xu, Patrick M. Hurley, Matthew MacKay, Trevor Benjamin, Mark Beaumont
STRAM: Measuring the Trustworthiness of Computer-Based Systems. ACM Comput. Surv. 51 (6) (2019)
Matthew MacKay, Paul Vicol, Jonathan Lorraine, David Duvenaud, Roger B. Grosse
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions. ICLR (Poster) (2019)
Matthew MacKay, Paul Vicol, Jimmy Ba, Roger B. Grosse
Reversible Recurrent Neural Networks. NeurIPS (2018)
Matthew MacKay, Paul Vicol, Jimmy Ba, Roger B. Grosse
Reversible Recurrent Neural Networks. CoRR (2018)