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      month: 11
      day: 21
  language: en
  page: 2782-2792
  publisher: PMLR
  title: Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
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  citation-key: FabiusVariational2014
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      day: 19
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- id: FlaxmanFast2015
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      day: 13
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  issued:
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  citation-key: GalBayesian2016
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    4th International Conference on Learning Representations (ICLR) workshop
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      month: 5
      day: 25
  language: en
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- id: GalModern2015
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  citation-key: GalModern2015
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  title: On Modern Deep Learning and Variational Inference
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- id: GalRapid2015
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  citation-key: GalRapid2015
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- id: GarneloConditional2018
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      month: 7
      day: 4
  language: en
  page: '10'
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- id: GarneloNeural2018
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  language: en
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  language: en
  page: '6'
  title: >-
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  citation-key: GuMuProp2016
  container-title: Proceedings of ICLR
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  language: en
  title: 'MuProp: Unbiased Backpropagation for Stochastic Neural Networks'
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  publisher: Curran Associates, Inc.
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- id: GuoCalibration2017
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      month: 8
      day: 3
  number: arXiv:1706.04599
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      day: 26
  language: en
  number: arXiv:1802.02643
  publisher: arXiv
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    - family: Sapsis
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  language: en
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  publisher-place: Rochester, NY
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    Evaluation of Machine Learning Architectures on the Quantification Of
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      day: 21
  title: >-
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  citation-key: HaykinKalman2001
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  publisher: Wiley
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  citation-key: HeBayesian2020
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  language: en
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      day: 21
  language: en
  page: 361-369
  title: Stochastic Structured Variational Inference
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      month: 9
      day: 25
  title: >-
    Practical bounds on the error of Bayesian posterior approximations: A
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      day: 11
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      day: 23
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    - family: Korzepa
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    - family: Bauer
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  language: en
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  publisher: PMLR
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  language: en
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  publisher: PMLR
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    - family: Buntine
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    - family: Boussaid
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    - family: Bennamoun
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      month: 1
      day: 3
  language: en
  title: Hands-on Bayesian Neural Networks — a Tutorial for Deep Learning Users
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- id: KarlDeep2016
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    - family: Soelch
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    - family: Smagt
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  container-title: Proceedings of ICLR
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  issued:
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      day: 20
  title: >-
    Deep Variational Bayes Filters: Unsupervised Learning of State Space Models
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      month: 7
      day: 19
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- id: KhanBayesian2023
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    - family: Rue
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  issued:
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      month: 6
      day: 30
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  publisher: arXiv
  title: The Bayesian Learning Rule
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- id: KhanConjugateComputation2017
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      month: 11
      day: 24
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    - family: Lin
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  container-title: Artificial Intelligence and Statistics
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  issued:
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      month: 4
      day: 10
  language: en
  page: 878-887
  publisher: PMLR
  title: >-
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- id: KingmaAutoEncoding2014
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    - family: Welling
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  title: Auto-Encoding Variational Bayes
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- id: KingmaImproving2016
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    - family: Salimans
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    - family: Welling
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  citation-key: KingmaImproving2016
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  issued:
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      day: 15
  publisher: Curran Associates, Inc.
  title: Improving Variational Inference with Inverse Autoregressive Flow
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- id: KingmaVariational2017
  author:
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  citation-key: KingmaVariational2017
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  title: 'Variational Inference & Deep Learning: A New Synthesis'
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  container-title: Inverse Problems
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  language: en
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  publisher: IOP Publishing
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- id: KrauthAutoGP2016
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    - family: Filippone
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  container-title: UAI17
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      day: 17
  title: >-
    AutoGP: Exploring the Capabilities and Limitations of Gaussian Process
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- id: KrishnanDeep2015
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      day: 11
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    - family: Shalit
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    - family: Sontag
      given: David
  citation-key: KrishnanDeep2015
  container-title: arXiv preprint arXiv:1511.05121
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  title: Deep kalman filters
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- id: KristiadiBeing2020
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      day: 30
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      given: Matthias
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  citation-key: KristiadiBeing2020
  container-title: ICML 2020
  issued:
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      month: 7
      day: 17
  title: Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
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- id: KristiadiBeing2022
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      day: 9
  author:
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      given: Agustinus
    - family: Hein
      given: Matthias
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  citation-key: KristiadiBeing2022
  container-title: CoRR
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  issued:
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      month: 2
      day: 2
  publisher: arXiv
  title: Being a Bit Frequentist Improves Bayesian Neural Networks
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- id: KristiadiInfinitefeature2021
  author:
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      given: Agustinus
    - family: Hein
      given: Matthias
    - family: Hennig
      given: Philipp
  citation-key: KristiadiInfinitefeature2021
  container-title: Advances in Neural Information Processing Systems
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  title: >-
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      day: 22
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      given: Philipp
  citation-key: KristiadiLearnable2021
  container-title: Uncertainty in Artificial Intelligence
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      day: 7
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      day: 31
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- id: LeAutoEncoding2017
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    - family: Igl
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    - family: Jin
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    - family: Rainforth
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    - family: Wood
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  citation-key: LeAutoEncoding2017
  container-title: arXiv preprint arXiv:1705.10306
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- id: LeeDeep2018
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    - family: Schoenholz
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    - family: Pennington
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  citation-key: LeeDeep2018
  container-title: ICLR
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      month: 3
      day: 2
  language: en
  title: Deep Neural Networks as Gaussian Processes
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- id: LeeMarkov2002
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  publisher: Taylor & Francis
  title: >-
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- id: LeInference2017
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    - family: Baydin
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  citation-key: LeInference2017
  collection-title: Proceedings of machine learning research
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  publisher: PMLR
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  title: Inference compilation and universal probabilistic programming
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  language: en
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  publisher: Taylor & Francis
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- id: LobachevaBayesian2017
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    - family: Chirkova
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  citation-key: LobachevaBayesian2017
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      day: 31
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  container-title: Computer Methods in Applied Mechanics and Engineering
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  number: arXiv:2106.13055
  publisher: arXiv
  title: Understanding Uncertainty in Bayesian Deep Learning
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    - family: Zemel
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    - family: Luxburg
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  publisher: Curran Associates, Inc.
  title: Causal Effect Inference with Deep Latent-Variable Models
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- id: LouizosMultiplicative2017
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  citation-key: LouizosMultiplicative2017
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  language: en
  page: 2218-2227
  title: Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
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  event-title: International Conference on Machine Learning
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  language: en
  page: 1708-1716
  title: >-
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  citation-key: MaddoxSimple2019
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  language: en
  title: A Simple Baseline for Bayesian Uncertainty in Deep Learning
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...
