Kurt Cutajar
Kurt Cutajar
AIG
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Title
Cited by
Cited by
Year
Random Feature Expansions for Deep Gaussian Processes
K Cutajar, EV Bonilla, P Michiardi, M Filippone
Proceedings of the 34th International Conference on Machine Learning (ICML), 2017
71*2017
Preconditioning kernel matrices
K Cutajar, M Osborne, J Cunningham, M Filippone
Proceedings of the 33rd International Conference on Machine Learning (ICML …, 2016
322016
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models
K Krauth, EV Bonilla, K Cutajar, M Filippone
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence …, 2017
262017
Bayesian Inference of Log Determinants
J Fitzsimons, K Cutajar, M Osborne, S Roberts, M Filippone
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence …, 2017
112017
Entropic Trace Estimates for Log Determinants
J Fitzsimons, D Granziol, K Cutajar, M Osborne, M Filippone, S Roberts
Machine Learning and Knowledge Discovery in Databases - European Conference …, 2017
92017
Deep Gaussian Processes for Multi-fidelity Modeling
K Cutajar, M Pullin, A Damianou, N Lawrence, J González
Third Bayesian Deep Learning Workshop, Advances in Neural Information …, 2019
72019
Broadening the Scope of Gaussian Processes for Large-Scale Learning
K Cutajar
Sorbonne University, 2019
2019
Accelerating Deep Gaussian Process Inference with Arc-Cosine Kernels
K Cutajar, EV Bonilla, P Michiardi, M Filippone
First Bayesian Deep Learning Workshop, Advances in Neural Information …, 2016
2016
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