Probabilistic Programming with Programmable Variational Inference

Probabilistic Programming with Programmable Variational Inference

Compared to the wide array of advanced Monte Carlo methods supported by modern probabilistic programming languages (PPLs), PPL support for variational inference (VI) is underdeveloped: users are typically limited to a small selection of predefined variational objectives and gradient estimators, whic...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Becker, McCoy R., Lew, Alexander K., Wang, Xiaoyan, Ghavami, Matin, Huot, Mathieu, Rinard, Martin C., Mansinghka, Vikash K.
Muut tekijät: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Association for Computing Machinery 2024
Linkit:https://hdl.handle.net/1721.1/155517

Internet

https://hdl.handle.net/1721.1/155517

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