240 citations · 316 across the 5 of their papers we have counts for
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cs.LG2019★ 21 cited
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias
Christopher Aicher, Nicholas J. Foti, Emily B. Fox
Truncated backpropagation through time (TBPTT) is a popular method for learning in recurrent neural networks (RNNs) that saves computation and memory at the cost of bias by truncat…
stat.ML2019★ 2 cited
Stochastic Gradient MCMC for Nonlinear State Space Models
Christopher Aicher, Srshti Putcha, Christopher Nemeth +2
State space models (SSMs) provide a flexible framework for modeling complex time series via a latent stochastic process. Inference for nonlinear, non-Gaussian SSMs is often tackled…