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Machine Learning
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Probabilistic Modeling
31 directly classified papers
Papers per year
2011: 1
2012: 2
2013: 1
2014: 4
2015: 1
2016: 3
2017: 1
2018: 1
2019: 3
2020: 3
2021: 3
2022: 3
2024: 3
2025: 2
Papers
Optimal Teaching for Limited-Capacity Human Learners
NIPS 2014
Clamping Variables and Approximate Inference
NIPS 2014
Nonparametric Multi-group Membership Model for Dynamic Networks
NIPS 2013
Near-Optimal MAP Inference for Determinantal Point Processes
NIPS 2012
Learning Label Trees for Probabilistic Modelling of Implicit Feedback
NIPS 2012
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
NIPS 2011
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