Trefor W. Evans

According to our database, Trefor W. Evans authored at least 5 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2020

Quadruply Stochastic Gaussian Processes.

Trefor W. Evans, Prasanth B. Nair

CoRR, 2020

Weak Form Generalized Hamiltonian Learning.

Kevin Course, Trefor W. Evans, Prasanth B. Nair

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Exploiting Structure for Fast Kernel Learning.

Trefor W. Evans, Prasanth B. Nair

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Discretely Relaxing Continuous Variables for tractable Variational Inference.

Trefor W. Evans, Prasanth B. Nair

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF).

Trefor W. Evans, Prasanth B. Nair

Proceedings of the 35th International Conference on Machine Learning, 2018