Durrande, Nicolas

10 publications

UAI 2022 Bayesian Quantile and Expectile Optimisation Victor Picheny, Henry Moss, Léonard Torossian, Nicolas Durrande

AISTATS 2021 Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Deisenroth, Nicolas Durrande

AISTATS 2021 The Minecraft Kernel: Modelling Correlated Gaussian Processes in the Fourier Domain Fergus Simpson, Alexis Boukouvalas, Vaclav Cadek, Elvijs Sarkans, Nicolas Durrande

NeurIPS 2021 Deep Neural Networks as Point Estimates for Deep Gaussian Processes Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande

NeurIPS 2021 Kernel Identification Through Transformers Fergus Simpson, Ian Davies, Vidhi Lalchand, Alessandro Vullo, Nicolas Durrande, Carl Edward Rasmussen

ECML-PKDD 2020 Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande

AISTATS 2020 Doubly Sparse Variational Gaussian Processes Vincent Adam, Stefanos Eleftheriadis, Artem Artemev, Nicolas Durrande, James Hensman

ICML 2020 Sparse Gaussian Processes with Spherical Harmonic Features Vincent Dutordoir, Nicolas Durrande, James Hensman

AISTATS 2019 Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman

AISTATS 2019 Gaussian Process Modulated Cox Processes Under Linear Inequality Constraints Andrés F. Lopez-Lopera, St John, Nicolas Durrande