Onur Teymur

According to our database, Onur Teymur authored at least 5 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Testing Whether a Learning Procedure is Calibrated.

Jon Cockayne, Matthew M. Graham, Chris J. Oates, Timothy John Sullivan, Onur Teymur

J. Mach. Learn. Res., 2022

2021

Black Box Probabilistic Numerics.

Onur Teymur, Christopher N. Foley, Philip G. Breen, Toni Karvonen, Chris J. Oates

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy.

Onur Teymur, Jackson Gorham, Marina Riabiz, Chris J. Oates

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2018

Implicit Probabilistic Integrators for ODEs.

Onur Teymur, Han Cheng Lie, Tim Sullivan, Ben Calderhead

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

2016

Probabilistic Linear Multistep Methods.

Onur Teymur, Konstantinos Zygalakis, Ben Calderhead

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016