Scalable Bayesian preference learning for crowds

DOI10.1007/s10994-019-05867-2zbMath1496.68280arXiv1912.01987OpenAlexW3005515137MaRDI QIDQ782436

Edwin Simpson, Iryna Gurevych

Publication date: 27 July 2020

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1912.01987

zbMATH Keywords

decision theoryBayesian inferencescalable inference approximation

Mathematics Subject Classification ID

Bayesian inference (62F15) Decision theory (91B06) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

crowdGPPL

Uses Software

• word2vec
• k-means++
• GitHub
• BERT

Cites Work

• Stagewise learning for noisy \(k\)-ary preferences
• Robust Plackett-Luce model for \(k\)-ary crowdsourced preferences
• Sequential non-stationary dynamic classification with sparse feedback
• Preference Learning and Ranking by Pairwise Comparison
• Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks
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