Time Series Analysis

Metric Learning for Temporal Sequence Alignment NeurIPS 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts CVPR 2014 Stochastic variational inference for hidden Markov models NeurIPS 2014 A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems JMLR 2013 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013 Causal Inference on Time Series using Restricted Structural Equation Models NeurIPS 2013 DYNACARE: Dynamic Cardiac Arrest Risk Estimation AISTATS 2013 Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013 Event Recognition in Photo Collections with a Stopwatch HMM ICCV 2013 Forecastable Component Analysis ICML 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 2013 Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013 Locally Adaptive Bayesian Multivariate Time Series NeurIPS 2013 Memory Limited, Streaming PCA NeurIPS 2013 Multilinear Dynamical Systems for Tensor Time Series NeurIPS 2013 Online Learning for Time Series Prediction COLT 2013 Optimally Fuzzy Temporal Memory JMLR 2013 Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Training and Analysing Deep Recurrent Neural Networks NeurIPS 2013