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  event-title: Artificial Intelligence and Statistics
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  language: en
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- id: KingmaGlow2018
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  container-title: Advances in Neural Information Processing Systems 31
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- id: KingmaImproving2016
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    - family: Welling
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  container-title: Advances in Neural Information Processing Systems 29
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      day: 15
  publisher: Curran Associates, Inc.
  title: Improving Variational Inference with Inverse Autoregressive Flow
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- id: KingmaVariational2015
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    - family: Welling
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- id: KingmaVariational2017
  author:
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  citation-key: KingmaVariational2017
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- id: KnoblauchOptimizationcentric2022
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    - family: Jewson
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      month: 12
      day: 31
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- id: LeibfriedTutorial2022
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      day: 4
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- id: LiRenyi2016
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  container-title: Advances in Neural Information Processing Systems
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- id: LiuStein2019
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- id: LiuTwoStep2018
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  container-title: International Conference on Machine Learning
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    - year: 2018
      month: 7
      day: 3
  language: en
  page: 3159-3168
  title: A Two-Step Computation of the Exact GAN Wasserstein Distance
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- id: LouizosCausal2017
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    - family: Zemel
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  container-title: Advances in Neural Information Processing Systems 30
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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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  container-title: PMLR
  event-title: International Conference on Machine Learning
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      month: 7
      day: 17
  language: en
  page: 2218-2227
  title: Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
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- id: LouizosStructured2016
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  event-title: International Conference on Machine Learning
  issued:
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  language: en
  page: 1708-1716
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- id: LutsRealTime2014
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- id: LutsRealTime2015
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- id: MacKayGaussian2002
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  publisher: Cambridge University Press
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- id: MacKayInformation2002
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  citation-key: MacKayInformation2002
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  title: Information Theory, Inference & Learning Algorithms
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- id: MaddisonFiltering2017
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  container-title: arXiv preprint arXiv:1705.09279
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- id: MahdianOptimal2019
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      month: 6
      day: 7
  language: en
  title: Optimal Transport Relaxations with Application to Wasserstein GANs
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- id: MarzoukSampling2016
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  container-title: Handbook of Uncertainty Quantification
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- id: MolchanovVariational2017
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- id: RanganathHierarchical2016
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- id: RanganathOperator2016
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- id: RezendeStochastic2015
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- id: RezendeVariational2015
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- id: RuizGeneralized2016
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- id: RyderBlackbox2018
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- id: SchervishTheory2012
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  language: en
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- id: SpantiniInference2017
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      day: 28
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  language: en
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  container-title: UAI18
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  publisher: arXiv
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...
