841 citations · 1.2k across the 34 of their papers we have counts for
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stat.ML2016★ 6 cited
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages
Yin Cheng Ng, Pawel Chilinski, Ricardo Silva
Factorial Hidden Markov Models (FHMMs) are powerful models for sequential data but they do not scale well with long sequences. We propose a scalable inference and learning algorith…
stat.ML2016★ 3 cited
Observational-Interventional Priors for Dose-Response Learning
Ricardo Silva
Controlled interventions provide the most direct source of information for learning causal effects. In particular, a dose-response curve can be learned by varying the treatment lev…