165 citations · 333 across the 19 of their papers we have counts for
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stat.ML2017★ 19 cited
Grounded Recurrent Neural Networks
Ankit Vani, Yacine Jernite, David Sontag
In this work, we present the Grounded Recurrent Neural Network (GRNN), a recurrent neural network architecture for multi-label prediction which explicitly ties labels to specific d…
stat.ML2017
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos, Uri Shalit, Joris Mooij +3
Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for pol…