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      month: 3
      day: 27
  number: arXiv:1907.02893
  publisher: arXiv
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- id: BongersFoundations2020
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- id: BuhlmannInvariance2020
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- id: ChristiansenCausal2020
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      day: 2
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  citation-key: ChristiansenCausal2020
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      month: 6
      day: 12
  language: en
  title: A causal framework for distribution generalization
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- id: DAmourUnderspecification2020
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      month: 11
      day: 18
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      month: 11
      day: 6
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- id: DeatonUnderstanding2016
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      day: 24
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- id: DegtiarReview2023
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      day: 12
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    - family: Rose
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- id: FernandezLoriaCausal2021
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      day: 24
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      month: 9
      day: 30
  title: >-
    Causal Decision Making and Causal Effect Estimation Are Not the Same... and
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- id: GigerenzerWe2022
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    - year: 2022
      month: 3
      day: 5
  author:
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  DOI: 10.1017/S0140525X21000327
  ISSN: 0140-525X, 1469-1825
  issued:
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  language: en
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- id: HoffimannGeostatistical2021
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      day: 5
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    - family: Zortea
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    - family: Carvalho
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      non-dropping-particle: de
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  DOI: 10.3389/fams.2021.689393
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  language: English
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- id: KilbertusAvoiding2017
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      day: 25
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    - family: Janzing
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    - family: Schölkopf
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  container-title: Advances in Neural Information Processing Systems 30
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- id: KohWILDS2021
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    - year: 2021
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      day: 27
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      month: 7
      day: 16
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- id: KulinskiExplaining2022
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    - year: 2022
      month: 11
      day: 15
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      given: Sean
    - family: Inouye
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  citation-key: KulinskiExplaining2022
  DOI: 10.48550/arXiv.2210.10275
  issued:
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      month: 10
      day: 18
  number: arXiv:2210.10275
  publisher: arXiv
  title: Towards Explaining Distribution Shifts
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- id: KunzelMetalearners2019
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    - family: Yu
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  ISSN: 0027-8424, 1091-6490
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      day: 5
  language: en
  page: 4156-4165
  PMID: '30770453'
  publisher: National Academy of Sciences
  section: PNAS Plus
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    Metalearners for estimating heterogeneous treatment effects using machine
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- id: MeinshausenCausality2018
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      given: Nicolai
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  container-title: 2018 IEEE Data Science Workshop (DSW)
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  event-title: 2018 IEEE Data Science Workshop (DSW)
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  title: Causality from a distributional robustness point of view
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    - family: Janzing
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    - family: Schölkopf
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      month: 6
      day: 4
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- id: RothenhauslerAnchor2020
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      day: 10
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    - family: Meinshausen
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    - family: Bühlmann
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  container-title: arXiv:1801.06229 [stat]
  issued:
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      month: 5
      day: 8
  title: 'Anchor regression: heterogeneous data meets causality'
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- id: RubensteinDeterministic2018
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    - family: Bongers
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  container-title: Uncertainty in Artificial Intelligence
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      day: 9
  title: From Deterministic ODEs to Dynamic Structural Causal Models
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- id: RungeInferring2019
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      month: 9
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  container-title: Nature Communications
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  ISSN: 2041-1723
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  language: en
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  title: Inferring causation from time series in Earth system sciences
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- id: ScholkopfBernhardCausal2012
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    - family: Janzing
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    - family: Sgouritsa
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    - family: Zhang
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  citation-key: ScholkopfBernhardCausal2012
  container-title: ICML 2012
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      day: 27
  title: On Causal and Anticausal Learning
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- id: ScholkopfCausality2022
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      month: 5
      day: 15
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      given: Bernhard
  citation-key: ScholkopfCausality2022
  container-title: 'Probabilistic and Causal Inference: The Works of Judea Pearl'
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  event-place: New York, NY, USA
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      month: 3
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  publisher: Association for Computing Machinery
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  title: Removing systematic errors for exoplanet search via latent causes
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- id: SchramArtificiality2005
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      day: 16
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  publisher: Routledge
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- id: ShiAdapting2019
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- id: SubbaswamyPreventing2019
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  author:
    - family: Subbaswamy
      given: Adarsh
    - family: Schulam
      given: Peter
    - family: Saria
      given: Suchi
  citation-key: SubbaswamyPreventing2019
  container-title: The 22nd International Conference on Artificial Intelligence and Statistics
  event-title: The 22nd International Conference on Artificial Intelligence and Statistics
  ISSN: 2640-3498
  issued:
    - year: 2019
      month: 4
      day: 11
  language: en
  page: 3118-3127
  publisher: PMLR
  title: >-
    Preventing Failures Due to Dataset Shift: Learning Predictive Models That
    Transport
  type: paper-conference
  URL: http://proceedings.mlr.press/v89/subbaswamy19a.html

- id: TibshiraniConformal2019
  accessed:
    - year: 2022
      month: 11
      day: 30
  author:
    - family: Tibshirani
      given: Ryan J
    - family: Foygel Barber
      given: Rina
    - family: Candes
      given: Emmanuel
    - family: Ramdas
      given: Aaditya
  citation-key: TibshiraniConformal2019
  container-title: Advances in Neural Information Processing Systems
  issued:
    - year: 2019
  publisher: Curran Associates, Inc.
  title: Conformal Prediction Under Covariate Shift
  type: paper-conference
  URL: >-
    https://papers.nips.cc/paper/2019/hash/8fb21ee7a2207526da55a679f0332de2-Abstract.html
  volume: '32'

- id: VeitchSense2020
  accessed:
    - year: 2022
      month: 9
      day: 2
  author:
    - family: Veitch
      given: Victor
    - family: Zaveri
      given: Anisha
  citation-key: VeitchSense2020
  DOI: 10.48550/arXiv.2003.01747
  issued:
    - year: 2020
      month: 3
      day: 3
  language: en
  title: >-
    Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to
    Unobserved Confounding
  type: article-journal
  URL: https://arxiv.org/abs/2003.01747v2

- id: VermaCounterfactual2020
  author:
    - family: Verma
      given: Sahil
    - family: Dickerson
      given: John
    - family: Hines
      given: Keegan
  citation-key: VermaCounterfactual2020
  issued:
    - year: 2020
  language: en
  page: '22'
  title: 'Counterfactual Explanations for Machine Learning: A Review'
  type: paper-conference

- id: WangDesiderata2021
  accessed:
    - year: 2021
      month: 9
      day: 14
  author:
    - family: Wang
      given: Yixin
    - family: Jordan
      given: Michael I.
  citation-key: WangDesiderata2021
  container-title: arXiv:2109.03795 [cs, stat]
  issued:
    - year: 2021
      month: 9
      day: 8
  title: 'Desiderata for Representation Learning: A Causal Perspective'
  type: article-journal
  URL: http://arxiv.org/abs/2109.03795
...
