Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR)

Biprateep Dey, David Zhao, Brett H Andrews, Jeffrey A Newman, Rafael Izbicki, Ann B Lee

Open source

DOI: 10.1088/2632-2153/ae1f05
Published: 2025-12-02
Container: Machine Learning: Science and Technology
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/2632-2153/ae1f05,
  title = {Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR)},
  author = {Biprateep Dey and David Zhao and Brett H Andrews and Jeffrey A Newman and Rafael Izbicki and Ann B Lee},
  year = {2025},
  journal = {Machine Learning: Science and Technology},
  doi = {10.1088/2632-2153/ae1f05},
  url = {https://doi.org/10.1088/2632-2153/ae1f05}
}

RIS

TY  - JOUR
TI  - Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR)
AU  - Biprateep Dey
AU  - David Zhao
AU  - Brett H Andrews
AU  - Jeffrey A Newman
AU  - Rafael Izbicki
AU  - Ann B Lee
PY  - 2025
JO  - Machine Learning: Science and Technology
DO  - 10.1088/2632-2153/ae1f05
UR  - https://doi.org/10.1088/2632-2153/ae1f05
ER  -

APA

Dey, B., Zhao, D., Andrews, B. H., Newman, J. A., Izbicki, R., & Lee, A. B. (2025). Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR). Machine Learning: Science and Technology. https://doi.org/10.1088/2632-2153/ae1f05

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crossref · retrieved 2026-11-10T10:41:03.337Z