350 citations · 497 across the 6 of their papers we have counts for
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cs.LG2023★ 2 cited
Sequential Monte Carlo Learning for Time Series Structure Discovery
Feras A. Saad, Brian J. Patton, Matthew D. Hoffman +2
This paper presents a new approach to automatically discovering accurate models of complex time series data. Working within a Bayesian nonparametric prior over a symbolic space of…
cs.LG2014★ 49 cited
Structured Stochastic Variational Inference
Matthew D. Hoffman, David M. Blei
Stochastic variational inference makes it possible to approximate posterior distributions induced by large datasets quickly using stochastic optimization. The algorithm relies on t…