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Approximate Bayesian Computation

ABC

131 papers tagged archive 2025-07-28

Introduced by Sourabh Kulkarni et al. in Accelerating Simulation-based Inference with Emerging AI Hardware

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Class of methods in Bayesian Statistics where the posterior distribution is approximated over a rejection scheme on simulations because the likelihood function is intractable.

Different parameters get sampled and simulated. Then a distance function is calculated to measure the quality of the simulation compared to data from real observations. Only simulations that fall below a certain threshold get accepted.

Image source: Kulkarni et al.

Paper

Source in the archive: Accelerating Simulation-based Inference with Emerging AI Hardware, a link on www.umass.edu (archive link, not checked and not linked: not a paper host this site links to).

Papers archive 2025-07-28

30 shown of 131, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 126 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Bayesian Inference8
Music Generation6
Language Modeling5
Language Modelling5
Classification4
Contrastive Learning4
Diversity4
Large Language Model4
Model Selection4
Retrieval4
Surface Reconstruction4
CAD Reconstruction3
Data Augmentation3
Decision Making3
Density Estimation3
GPU3
Information Retrieval3
Management3
Music Information Retrieval3
Point cloud reconstruction3

Usage over time archive 2025-07-28

Papers per year tagged with ABC: 2018 to 2025, peak 33 33 0 2018: 1 paper 2018 2019: 0 papers 2019 2020: 4 papers 2020 2021: 33 papers 2021 2022: 17 papers 2022 2023: 28 papers 2023 2024: 31 papers 2024 2025: 17 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (131 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Approximate Inference

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