A Robust Functional EM Algorithm for Incomplete Panel Count Data

"A Robust Functional EM Algorithm for Incomplete Panel Count Data" is work conducted by Alexander Moreno (Georgia Tech); Zhenke Wu (University of Michigan); Jamie Yap (University of Michigan); Cho Lam (University of Utah); David Wetter (University of Utah); Inbal Nahum-Shani (University of Michigan); Walter Dempsey (University of Michigan); James M. Rehg (Georgia Tech). This paper was accepted to 2020 NeurIPS as a poster presentation. Full paper: https://arxiv.org/pdf/2003.01169.pdf For more information on NeurIPS, visit https://b.gatech.edu/2UYu16c About ML@GT The Machine Learning Center at Georgia Tech (ML@GT) was founded in 2016 as an interdisciplinary research center (IRC) at the Georgia Institute of Technology. Since then, we have grown to include over 190 affiliated faculty members and 60 Ph.D. students, all publishing at world-renowned conferences. The center aims to research and develop innovative and sustainable technologies using machine learning and artificial intelligence (AI) that serve our community in socially and ethically responsible ways. www.ml.gatech.edu