- Efficient spatio-temporal sampling via low-rank tensor sketching,
- Rose Yu, Yan Liu, Sanjay Purushotham
- [pdf]
- Collaborative Multi-Output Gaussian Processes for Collections of Sparse Multivariate Time Series,
- Steve Cheng-Xian Li, Benjamin Marlin
- [pdf]
- Stochastic Collapsed Variational Inference for Hidden Markov Models,
- Pengyu Wang, Phil Blunsom
- [pdf]
- Minimax Time Series Prediction,
- Wouter Koolen, Alan Malek, Peter Bartlett, Yasin Abbasi-Yadkori
- [pdf]
- Isotonic Hawkess Processes,
- Yichen Wang, Nan Du, Le Song
- [pdf]
- Feature Extraction for Option Price Forecasting,
- Dmitry Storcheus, Sergey Gelman
- [pdf]
- Multi-step predictive state representations,
- Lucas Langer, Borja Balle, Doina Precup
- [pdf]
- Multivariate Time Series Classification Using Inter-Leaved Shapelets,
- Om Prasad Patri, Rajgopal Kannan, Anand V. Panangadan, Viktor K. Prasanna
- [pdf]
- Functional Learning of Time Series Models Preserving Granger Causality Structures,
- Magda Gregorova, Francesco Dinuzzo, Alexandros Kalousis
- [pdf]
- Early Classification of Time Series by Hidden Markov Models with Set-valued Parameters,
- Alessandro Antonucci, Mauro Scanagatta, Denis D. Maua and Cassio P. de Campos
- [pdf]
- Design of Covariance Functions using Inter-Domain Inducing Variables,
- Felipe Tobar, Thang Bui and Richard Turner
- [pdf] (Best Paper Award)
- Sparse Adaptive Prior for Time Dependent Model Parameters,
- Dani Yogotama, Bryan R. Routledge, Noah A. Smith
- [pdf]
- Time Series Forecasting with Shared Seasonality Patterns using Non-Negative Matrix Factorization,
- Wei Sun, Dmitry Malioutov
- [pdf]
- Multi-Instance Learning for Activity Recognition from Time Series Data Using A Mixture of Auto-Regressive Processes,
- Xinze Guan, Raviv Raich, Weng-Keen Wong
- [pdf] [supp]
- ODE-augmented Training Improves Anomaly Detection in Sensor Data from Machines,
- Mohit Yadav, Pankaj Malhotra, Lovekesh Vig, K Sriram, Gautam Shroff
- [pdf]
- Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path,
- Daniel Hsu, Aryeh Kontorovich, Csaba Szepesvari
- [pdf]
- p-Markov GP for Scalable Expressive Online Bayessian Nonparametric Time Series Forecasting,
- Yves-Laurent Kom Samo, Stephen J. Roberts
- [pdf]
- Temporal Regularized Matrix Factorization,
- Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon
- [pdf]
- Action Recognition using Visual Attention,
- Shikhar Sharma, Ryan Kiros, Ruslan Salakhutdinov
- [pdf]
- Early Classification of Time Series from a Cost Minimization Point of View,
- Usue Mori, Alexander Mendiburu, Sanjoy Dasgupta, Jose A. Lozano
- [pdf]