Nicolas Durrande
10 papers · 2018–2022 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 💎 Century Club · Bronze
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Bayesian & Probabilistic · Artificial Intelligence
(7)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Models
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
gaussian process
(9)
variational inference
(5)
sparse approximation
(3)
inducing point
(2)
automatic differentiation
(1)
automatic relevance determination
(1)
quantile regression
(1)
point process
(1)
precision matrix
(1)
inter-domain gp
(1)
gaussian markov random field
(1)
multi-output learning
(1)
state space model
(1)
entropy search
(1)
activation function
(1)
fourier feature
(1)
spherical harmonics
(1)
intensity function
(1)
heteroscedastic noise
(1)
spectral representation
(1)
Papers
Bayesian quantile and expectile optimisation
UAI 2022
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
NeurIPS 2021
Kernel Identification Through Transformers
NeurIPS 2021
Matérn Gaussian Processes on Graphs
AISTATS 2021
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
AISTATS 2021
Doubly Sparse Variational Gaussian Processes
AISTATS 2020
Sparse Gaussian Processes with Spherical Harmonic Features
ICML 2020
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
AISTATS 2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
AISTATS 2019
Variational Fourier Features for Gaussian Processes
JMLR 2018