Number of items: 4.
Knoblauch, Jeremias, Jewson, Jack E. and Damoulas, Theodoros
(2022)
An optimization-centric view on Bayesβ rule : reviewing and generalizing variational inference.
Journal of Machine Learning Research, 23
(123).
pp. 1-109.
ISSN 1532-4435.
Jewson, Jack E.
(2019)
Bayesian inference in the M-open world.
PhD thesis, University of Warwick.
Knoblauch, Jeremias, Jewson, Jack E. and Damoulas, Theodoros
(2018)
Doubly robust Bayesian inference for non-stationary streaming data with Ξ²-divergences.
In: Thirty-second Conference on Neural Information Processing Systems, MontrΓ©al, Canada, 3-8 Dec 2018. Published in: Advances in Neural Information Processing Systems, 31
pp. 64-75.
doi:10.5555/3326943.3326950
Jewson, Jack E., Smith, Jim Q and Holmes, Chris
(2018)
Principles of Bayesian Inference Using General Divergence Criteria.
Entropy, 20
(6).
p. 442.
doi:10.3390/e20060442
ISSN 1099-4300.
This list was generated on Thu Apr 25 04:30:54 2024 BST.