time series forecasting

Multivariate Bayesian Structural Time Series Model JMLR 2018 Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns IJCAI 2018 Stock Price Prediction Using Attention-based Multi-Input LSTM ACML 2018 Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series AISTATS 2018 App Download Forecasting: An Evolutionary Hierarchical Competition Approach IJCAI 2017 Blue Skies: A Methodology for Data-Driven Clear Sky Modelling IJCAI 2017 DDoS Event Forecasting using Twitter Data IJCAI 2017 Discriminative State Space Models NeurIPS 2017 Hybrid Neural Networks for Learning the Trend in Time Series IJCAI 2017 Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks ACML 2017 Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017 Nonparametric Risk Bounds for Time-Series Forecasting JMLR 2017 Correcting Forecasts with Multifactor Neural Attention ICML 2016 Learning Theory and Algorithms for Forecasting Non-stationary Time Series NeurIPS 2015 Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014 Boosting multi-step autoregressive forecasts ICML 2014 Ensembles for Time Series Forecasting ACML 2014 Fast Kernel Learning for Multidimensional Pattern Extrapolation NeurIPS 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Locally Adaptive Bayesian Multivariate Time Series NeurIPS 2013 Optimally Fuzzy Temporal Memory JMLR 2013 Structure Discovery in Nonparametric Regression through Compositional Kernel Search ICML 2013 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NeurIPS 2012 Copula Processes NeurIPS 2010 Discrete MDL Predicts in Total Variation NeurIPS 2009