Time Series

tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models JMLR 2018 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction IJCAI 2017 A Functional Dynamic Boltzmann Machine IJCAI 2017 Discriminative State Space Models NeurIPS 2017 Fast Change Point Detection on Dynamic Social Networks IJCAI 2017 Kernel Partial Least Squares for Stationary Data JMLR 2017 Random Projection Filter Bank for Time Series Data NeurIPS 2017 Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models JMLR 2017 Characterizing Vocal Tract Dynamics Across Speakers Using Real-Time MRI Interspeech 2016 Congruency Effect Between Articulation and Grasping in Native English Speakers Interspeech 2016 Consistent Algorithms for Clustering Time Series JMLR 2016 Correcting Forecasts with Multifactor Neural Attention ICML 2016 Data-driven Rank Breaking for Efficient Rank Aggregation ICML 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Estimating Structured Vector Autoregressive Models ICML 2016 Graphical Time Warping for Joint Alignment of Multiple Curves NeurIPS 2016 Learning Parameters of Hybrid Time Bayesian Networks PGM 2016 Respiratory Belts and Whistles: A Preliminary Study of Breathing Acoustics for Turn-Taking Interspeech 2016 Learning Theory and Algorithms for Forecasting Non-stationary Time Series NeurIPS 2015 Minimax Time Series Prediction NeurIPS 2015 Network Granger Causality with Inherent Grouping Structure JMLR 2015 Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes ICML 2015 Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015 Boosting multi-step autoregressive forecasts ICML 2014 Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014