On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,291 papers · 148 categories

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2 results for “Topic-Layer-Adaptive”

Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMCstat.ML

A new method for scalable inference in deep discrete LVMs.

problem Challenges in scalable inference for deep discrete latent variable models.

method Topic-layer-adaptive stochastic gradient Riemannian MCMC (TLASGR) for DLDA.

result State-of-the-art results on big data sets.

Deep Latent Dirichlet Allocation DLDA Stochastic Gradient MCMC Topic-Layer-Adaptive Riemannian

2017-06-06abs ↗pdf ↗

Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inferencecs.LG

Develops a flexible deep autoencoding topic model with scalable hybrid Bayesian inference.

problem Flexible and interpretable document analysis models.

method DATM with hybrid Bayesian inference, including topic-layer-adaptive stochastic gradient Riemannian MCMC and Weibull variational encoder.

result Demonstrates scalability and efficacy on big corpora in unsupervised and supervised learning tasks.

Deep Autoencoding Topic Model Hybrid Bayesian Inference Scalable Inference Gamma Distributions Riemannian MCMC

2020-06-15abs ↗pdf ↗