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Research map / Probabilistic and scientific modeling / Variational and generative sampling

Hierarchical Methods of Moments

NeurIPS 2017 · Probabilistic and scientific modeling › Variational and generative sampling · approach: Latent variable marginalization and estimators · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use SIDIWO with recursive divisive clustering instead of flat tensor-decomposition clusteringSingle topic model with 8 topics · Synthetic topic-model dataAdjusted Rand IndexHelped
Replace tensor decomposition with whitening-based approximate joint diagonalization formulated as optimizationMethods of moments for topic modeling · Topic modeling experimentsmodel qualityHelped
Replace tensor decomposition with whitening-based approximate joint diagonalization formulated as optimizationMethods of moments for topic modeling · Topic modeling experimentsspeedHelped
Use SIDIWO to build a binary hierarchy by recursively splitting corpora into two pseudo-center groupsTopic modeling · NIPS papers 1987–2015interpretabilityHelped
Use SIDIWO to build a binary hierarchy by recursively splitting corpora into two pseudo-center groupsTopic modeling · Wikipedia Mathematics PagesinterpretabilityHelped

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