2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2017
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection
Chao Chen, Xiao Lin, Gabriel Terejanu
Long Short-Term Memory networks trained with gradient descent and back-propagation have received great success in various applications. However, point estimation of the weights of…
stat.CO2017
EnLLVM: Ensemble Based Nonlinear Bayesian Filtering Using Linear Latent Variable Models
Xiao Lin, Gabriel Terejanu
Real-time nonlinear Bayesian filtering algorithms are overwhelmed by data volume, velocity and increasing complexity of computational models. In this paper, we propose a novel ense…
stat.CO2017★ 2 cited
Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions
Xiao Lin, Asif Chowdhury, Xiaofan Wang +1
Since the cost of installing and maintaining sensors is usually high, sensor locations are always strategically selected. For those aiming at inferring certain quantities of intere…