Time Series Analysis

Video Event Detection by Exploiting Word Dependencies from Image Captions COLING 2016 Functional Subspace Clustering with Application to Time Series ICML 2015 GP Kernels for Cross-Spectrum Analysis NeurIPS 2015 Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NeurIPS 2015 Learning Theory and Algorithms for Forecasting Non-stationary Time Series NeurIPS 2015 Material Recognition from Heat Transfer given Varying Initial Conditions and Short-Duration Contact RSS 2015 Minimax Time Series Prediction NeurIPS 2015 Moderated and Drifting Linear Dynamical Systems ICML 2015 M-Statistic for Kernel Change-Point Detection NeurIPS 2015 Online Time Series Prediction with Missing Data ICML 2015 Super-Resolution Off the Grid NeurIPS 2015 Temporal Subspace Clustering for Human Motion Segmentation ICCV 2015 Time-Sensitive Recommendation From Recurrent User Activities NeurIPS 2015 Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014 Asymptotically consistent estimation of the number of change points in highly dependent time series ICML 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014 Coresets for k-Segmentation of Streaming Data NeurIPS 2014 Covariance shrinkage for autocorrelated data NeurIPS 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Gaussian Process Volatility Model NeurIPS 2014 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Locally Adaptive Factor Processes for Multivariate Time Series JMLR 2014