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Workshop
Sat 13:40 Discovery of governing equations and biological principles from spatio-temporal time-series recordings
Nathan Kutz
Workshop
Fri 9:00 Introduction to Time Series Workshop
Workshop
Fri 14:45 Vitaly Kuznetsov: Kaggle web traffic time series forecasting competition: results and insights
Poster
Wed 18:30 A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
Hongteng Xu · Hongyuan Zha
Poster
Wed 18:30 Online Learning for Multivariate Hawkes Processes
Yingxiang Yang · Jalal Etesami · Niao He · Negar Kiyavash
Poster
Mon 18:30 Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
Anton Mallasto · Aasa Feragen
Poster
Mon 18:30 The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
Hongyuan Mei · Jason Eisner
Poster
Tue 18:30 Detrended Partial Cross Correlation for Brain Connectivity Analysis
Jaime Ide · Fábio Cappabianco · Fabio Faria · Chiang-shan R Li
Workshop
Fri 14:00 Recovering Latent Causal Relations from Times Series Data
Negar Kiyavash
Poster
Tue 18:30 GP CaKe: Effective brain connectivity with causal kernels
Luca Ambrogioni · Max Hinne · Marcel Van Gerven · Eric Maris
Poster
Mon 18:30 Scalable Levy Process Priors for Spectral Kernel Learning
Phillip Jang · Andrew Loeb · Matthew Davidow · Andrew Wilson
Poster
Wed 18:30 Reliable Decision Support using Counterfactual Models
Peter Schulam · Suchi Saria