probabilistic modeling
PulseAugur coverage of probabilistic modeling — every cluster mentioning probabilistic modeling across labs, papers, and developer communities, ranked by signal.
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New probabilistic model offers theoretical explanation for in-context learning in LLMs
Researchers have developed a probabilistic model to theoretically explain the phenomenon of in-context learning (ICL) in large language models (LLMs). This model analyzes how factors like the number of demonstrations, p…
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New MCMC method uses neural nets to adaptively stop sampling
Researchers have developed a new framework that uses neural classifiers to adaptively determine when to stop sampling in Markov chain Monte Carlo (MCMC) methods. This approach, framed within Generative Flow Networks (GF…
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New research connects ultrametric OGP and parametric RDT for binary perceptrons
This paper introduces the Ultrametric Overlap Gap Property (OGP) framework to analyze symmetric binary perceptrons. Researchers developed a union-bounding program combining combinatorial and probabilistic methods to est…