Rajesh Ranganath
3 papers in the PaperMetrix corpus
Papers by this author
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Hierarchical Variational Models
2015 · arXiv (Cornell University)
Black box variational inference allows researchers to easily prototype and evaluate an array of models. Recent advances allow such algorithms to scale to high dimensions. However, a central question remains: How to specify an expressive …
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Noisin: Unbiased Regularization for Recurrent Neural Networks
2018 · arXiv (Cornell University)
Recurrent neural networks (RNNs) are powerful models of sequential data. They have been successfully used in domains such as text and speech. However, RNNs are susceptible to overfitting; regularization is important. In this paper we …
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Population Predictive Checks
2019 · arXiv (Cornell University)
Bayesian modeling helps applied researchers articulate assumptions about their data and develop models tailored for specific applications. Thanks to good methods for approximate posterior inference, researchers can now easily build, use, and revise complicated Bayesian …