Onur Teymur

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 8

Top Topics

Computationally Expensive

Probabilistic Relational

Stochastic Processes

Top Venues

J. Mach. Learn. Res.

Publications

Jon Cockayne, Matthew M. Graham, Chris J. Oates, Timothy John Sullivan, Onur Teymur
Testing Whether a Learning Procedure is Calibrated. J. Mach. Learn. Res. 23 (2022)
Onur Teymur, Jackson Gorham, Marina Riabiz, Chris J. Oates
Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy. AISTATS (2021)
Onur Teymur, Christopher N. Foley, Philip G. Breen, Toni Karvonen, Chris J. Oates
Black Box Probabilistic Numerics. CoRR (2021)
Onur Teymur, Christopher N. Foley, Philip G. Breen, Toni Karvonen, Chris J. Oates
Black Box Probabilistic Numerics. NeurIPS (2021)
Onur Teymur, Jackson Gorham, Marina Riabiz, Chris J. Oates
Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy. CoRR (2020)
Onur Teymur, Han Cheng Lie, Tim Sullivan, Ben Calderhead
Implicit Probabilistic Integrators for ODEs. NeurIPS (2018)
Onur Teymur, Konstantinos Zygalakis, Ben Calderhead
Probabilistic Linear Multistep Methods. CoRR (2016)
Onur Teymur, Konstantinos Zygalakis, Ben Calderhead
Probabilistic Linear Multistep Methods. NIPS (2016)