Sustainability and Machine Learning Group
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Meta Reinforcement Learning with Latent Variable Gaussian Processes
Steindór Sæmundsson
,
Katja Hofmann
,
Marc Deisenroth
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Orthogonally Decoupled Variational Gaussian Processes
Hugh Salimbeni
,
Ching-an Cheng
,
Byron Boots
,
Marc Deisenroth
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Psychometric scaling of TID2013 dataset
Aliaksei Mikhailiuk
,
Maria Perez-Ortiz
,
Rafal K. Mantiuk
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A practical guide and software for analysing pairwise comparison experiments
Maria Perez-Ortiz
,
Rafal Mantiuk
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Bayesian Multi-Objective Optimisation of Neotissue Growth in a Perfusion Bioreactor Set-up
Simon Olofsson
,
Mohammad Mehrian
,
Liesbet Geris
,
Roberto Calandra
,
Marc Deisenroth
,
Ruth Misener
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Combining Ranking with Traditional Methods for Ordinal Class Imbalance
Ricardo Cruz
,
Kelwin Fernandes
,
Joaquim F. Pinto Costa
,
Maria Perez-Ortiz
,
Jaime S. Cardoso
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Customer Life Time Value Prediction Using Embeddings
Benjamin P. Chamberlain
,
Angelo Cardoso
,
C. H. Bryan Liu
,
Roberto Pagliari
,
Marc Deisenroth
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Deeply Non-Stationary Gaussian Processes
Hugh Salimbeni
,
Marc Deisenroth
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Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni
,
Marc Deisenroth
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URL
Identification of Gaussian Process State Space Models
Stefanos Eleftheriadis
,
Thomas F. W. Nicholson
,
Marc Deisenroth
,
James Hensman
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