78 citations · 306 across the 30 of their papers we have counts for
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stat.ML2018
Multiple Causal Inference with Latent Confounding
Rajesh Ranganath, Adler Perotte
Causal inference from observational data requires assumptions. These assumptions range from measuring confounders to identifying instruments. Traditionally, causal inference assump…
stat.ML2018
Noisin: Unbiased Regularization for Recurrent Neural Networks
Adji B. Dieng, Rajesh Ranganath, Jaan Altosaar +1
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 overf…