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ORCIDNicolas Durrande
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2020 – today
- 2022
[c11]Victor Picheny, Henry B. Moss, Léeonard Torossian, Nicolas Durrande:
Bayesian quantile and expectile optimisation. UAI 2022: 1623-1633- 2021
- [j6]Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez
:
Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 656-666 (2021) - [c10]Fergus Simpson, Alexis Boukouvalas, Václav Cadek, Elvijs Sarkans, Nicolas Durrande:
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain. AISTATS 2021: 1945-1953 - [c9]Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande:
Matérn Gaussian Processes on Graphs. AISTATS 2021: 2593-2601 - [c8]Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande:
Deep Neural Networks as Point Estimates for Deep Gaussian Processes. NeurIPS 2021: 9443-9455 - [c7]Fergus Simpson, Ian Davies, Vidhi Lalchand, Alessandro Vullo, Nicolas Durrande, Carl Edward Rasmussen:
Kernel Identification Through Transformers. NeurIPS 2021: 10483-10495 - [i17]Fergus Simpson, Alexis Boukouvalas, Václav Cadek, Elvijs Sarkans, Nicolas Durrande:
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain. CoRR abs/2103.06950 (2021) - [i16]Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande:
Deep Neural Networks as Point Estimates for Deep Gaussian Processes. CoRR abs/2105.04504 (2021) - [i15]Fergus Simpson, Ian Davies, Vidhi Lalchand, Alessandro Vullo, Nicolas Durrande, Carl E. Rasmussen:
Kernel Identification Through Transformers. CoRR abs/2106.08185 (2021) - 2020
- [c6]Vincent Adam, Stefanos Eleftheriadis, Artem Artemev, Nicolas Durrande, James Hensman:
Doubly Sparse Variational Gaussian Processes. AISTATS 2020: 2874-2884 - [c5]Vincent Dutordoir, Nicolas Durrande, James Hensman:
Sparse Gaussian Processes with Spherical Harmonic Features. ICML 2020: 2793-2802 - [c4]Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande:
Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation. ECML/PKDD (3) 2020: 431-446 - [i14]Léonard Torossian, Victor Picheny, Nicolas Durrande:
Bayesian Quantile and Expectile Optimisation. CoRR abs/2001.04833 (2020) - [i13]Vincent Adam, Stefanos Eleftheriadis, Nicolas Durrande, Artem Artemev, James Hensman:
Doubly Sparse Variational Gaussian Processes. CoRR abs/2001.05363 (2020) - [i12]Sattar Vakili, Victor Picheny, Nicolas Durrande:
Regret Bounds for Noise-Free Bayesian Optimization. CoRR abs/2002.05096 (2020) - [i11]Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande:
Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation. CoRR abs/2006.14376 (2020) - [i10]Vincent Dutordoir, Nicolas Durrande, James Hensman:
Sparse Gaussian Processes with Spherical Harmonic Features. CoRR abs/2006.16649 (2020) - [i9]Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande:
Matern Gaussian Processes on Graphs. CoRR abs/2010.15538 (2020) - [i8]Felix Leibfried, Vincent Dutordoir, S. T. John, Nicolas Durrande:
A Tutorial on Sparse Gaussian Processes and Variational Inference. CoRR abs/2012.13962 (2020)
2010 – 2019
- 2019
- [c3]Andrés F. López-Lopera, S. T. John, Nicolas Durrande:
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints. AISTATS 2019: 1997-2006 - [c2]Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman:
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. AISTATS 2019: 2780-2789 - [i7]Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC. CoRR abs/1901.04827 (2019) - [i6]Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman:
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. CoRR abs/1902.10078 (2019) - [i5]Andrés F. López-Lopera, S. T. John, Nicolas Durrande:
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints. CoRR abs/1902.10974 (2019) - 2018
- [j5]Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints. SIAM/ASA J. Uncertain. Quantification 6(3): 1224-1255 (2018) - [j4]Didier Rullière, Nicolas Durrande, François Bachoc, Clément Chevalier:
Nested Kriging predictions for datasets with a large number of observations. Stat. Comput. 28(4): 849-867 (2018) - [i4]Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez:
Physically-inspired Gaussian processes for transcriptional regulation in Drosophila melanogaster. CoRR abs/1808.10026 (2018) - [i3]Vincent Adam, Nicolas Durrande, S. T. John:
Scalable GAM using sparse variational Gaussian processes. CoRR abs/1812.11106 (2018) - 2017
- [j3]James Hensman, Nicolas Durrande, Arno Solin:
Variational Fourier Features for Gaussian Processes. J. Mach. Learn. Res. 18: 151:1-151:52 (2017) - [i2]Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Finite-dimensional Gaussian approximation with linear inequality constraints. CoRR abs/1710.07453 (2017) - 2016
- [j2]Nicolas Durrande, James Hensman, Magnus Rattray, Neil D. Lawrence:
Detecting periodicities with Gaussian processes. PeerJ Comput. Sci. 2: e50 (2016) - [i1]Nicolas Durrande, James Hensman, Magnus Rattray, Neil D. Lawrence:
Detecting periodicities with Gaussian processes. PeerJ Prepr. 4: e1743 (2016) - 2014
- [c1]David Ginsbourger, Olivier Roustant, Dominic Schuhmacher, Nicolas Durrande, Nicolas Lenz:
On ANOVA Decompositions of Kernels and Gaussian Random Field Paths. MCQMC 2014: 315-330 - 2013
- [j1]Nicolas Durrande, David Ginsbourger, Olivier Roustant, Laurent Carraro:
ANOVA kernels and RKHS of zero mean functions for model-based sensitivity analysis. J. Multivar. Anal. 115: 57-67 (2013)
Coauthor Index
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