The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software | Paper Citation Record

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Nero, Anthony V

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2025 , booktitle =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Scientific Reports , volume =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software James and Gilliland, Frank D

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Petkova, Eva and Park, Hyung G

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Proceedings of the 21st International Congress on Modelling and Simulation (MODSIM) , pages=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Chinese Journal of Epidemiology , volume=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Political Science Research and Methods , volume=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software PeerJ , volume=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Luhmann, Christian , title =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Journal of Machine Learning Research , year =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Kasprzak and Ryan Giordano and Tamara Broderick , title =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software , month = jun, year =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Journal of Machine Learning Research , year =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Variational Inference with Gaussian Score Matching

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Blei , title =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Trippe, Brian L

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software GFlowNets and variational inference

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Robin, S

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Proceedings of the 2016 ICML Workshop on \#Data4Good: Machine Learning in Social Good Applications , year=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Malkin, Nikolay and Jain, Moksh and Everett, Katie and Graikos, Alexandros and Bengio, Yoshua , year =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Ghahramani, Zoubin and Jaakkola, Tommi S

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Jordan , title =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Statistical Science , author =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Hoffman and David M

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Yes, but

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Variational

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Salimans, Tim and Jozefowicz, Rafal and Chen, Xi and Sutskever, Ilya and Welling, Max , year =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Proceedings of the 39th International Conference on Machine Learning , pages =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Journal of Machine Learning Research , year =

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Bayesian Analysis , year=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Kasprzak, Mikołaj and Campbell, Trevor and Broderick, Tamara , title=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Lee, Daniel and Goodrich, Ben and Betancourt, Michael and Brubaker, Marcus and Guo, Jiqiang and Li, Peter and Riddell, Allen , title=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Chen and Martin Jankowiak and Fritz Obermeyer and Neeraj Pradhan and Theofanis Karaletsos and Rohit Singh and Paul Szerlip and Paul Horsfall and Noah D

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Journal of the American Statistical Association , author=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Mathematics and Computers in Simulation (MATCOM) , author=

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This paper cites 2020 , journal=.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2020 , journal=

Reference 63

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This paper cites 2021 , eprint=.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2021 , eprint=

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This paper cites 2020 , eprint=.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2020 , eprint=

Reference 65

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2024 , eprint=

Reference 66

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2024 , eprint=

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This paper cites 2024 , eprint=.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2024 , eprint=

Reference 68

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This paper cites and Teschendorff, A.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Teschendorff, A

Reference 69

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Reference 70

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2008 , journal=

Reference 71

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This paper cites and Jordan, Michael I.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Jordan, Michael I

Reference 72

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This paper cites Propagation Algorithms for Variational Bayesian Learning , volume =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Propagation Algorithms for Variational Bayesian Learning , volume =

Reference 73

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2010 , eprint=

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2025 , howpublished =

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This paper cites 2022 , howpublished =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2022 , howpublished =

Reference 76

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2020 , month =

Reference 78

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Reference 79

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2023 , note=

Reference 80

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2023 , note=

Reference 81

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Welling, Max , title =

Reference 82

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Observation 7309feb0-4a95-4cfb-8571-1b7f16ac49f6 · outbound

This paper cites , title =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software , title =

Reference 83

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Observation ab431148-a69f-4047-ba63-174b6ff8f86b · outbound

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2018 , note=

Reference 84

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Observation 68090b48-2643-43dc-8c93-b5b4a8101202 · outbound

This paper cites 2022 , note=.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2022 , note=

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.671583Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 85d83a14-d351-437e-bcc7-676c195461a7 · outbound

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2024 , howpublished=

Reference 86

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Observation 51350d24-66da-41fa-a9c3-76c6665b394a · outbound

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The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics , pages=

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.650925Z

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Observation 12491958-5f93-4c65-9e90-1b3eae5aa1ab · outbound

This paper cites 2022 , eprint=.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2022 , eprint=

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.640720Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45e01a92-4800-459a-868d-560dfb5edf07 · outbound

This paper cites , title =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software , title =

Reference 89

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Unavailable: canonical work link unavailable.

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This paper cites 2021 , journal =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2021 , journal =

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T00:15:59.932896Z

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This paper cites and Rosenthal, Jeffrey S.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software and Rosenthal, Jeffrey S

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.623513Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a2b69ce3-b47b-4040-996c-4ba8dfb4d367 · outbound

This paper cites Bayesian Modeling of Traffic-Related Air Pollutants:.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Bayesian Modeling of Traffic-Related Air Pollutants:

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.613889Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee7faea2-c1b5-420c-84a3-cd0c5d6f332c · outbound

This paper cites Korean Journal of Anesthesiology , volume =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Korean Journal of Anesthesiology , volume =

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.603546Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1e5b199e-3f11-437e-a940-5ac7dcf5971f · outbound

This paper cites The Annals of Mathematical Statistics , volume =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software The Annals of Mathematical Statistics , volume =

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.593608Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2660aef-5daa-49c6-80ac-0999c174a7ab · outbound

This paper cites 2025 , note =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2025 , note =

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.584225Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e644dc4c-c093-428d-b0b3-94adf970bb08 · outbound

This paper cites 2025 , howpublished =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2025 , howpublished =

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.574676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63cff59a-24e7-4d5e-bb8a-7e2a3c7b1f17 · outbound

This paper cites 2024 , howpublished =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software 2024 , howpublished =

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.565012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bcd66fc5-fc07-4b36-9338-c5c5a33af21f · outbound

This paper cites A Conceptual Introduction to Markov Chain Monte Carlo Methods.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 98

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Observation 9debe8dd-f9a7-4eb5-a7fd-7b30754a7141 · outbound

This paper cites Robert and George Casella , title =.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software Robert and George Casella , title =

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:16:06.554422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5afd8c33-6340-48a1-9548-a07c84cec18f · outbound

This paper cites an unresolved cited work.

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Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:16:06.540692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Outbound references

Pith citing papers