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Poster
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Wed 9:00
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Linear dynamical neural population models through nonlinear embeddings
Yuanjun Gao · Evan Archer · Liam Paninski · John Cunningham
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Workshop
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Fri 8:00
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Maria DeYoreo: A Markovian Model for Nonstationary Time Series via Bayesian nonparametrics
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Workshop
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Fri 2:30
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Emily Fox : Functional Connectivity in MEG via Graphical Models of Time Series
Emily Fox
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Poster
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Tue 9:00
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Probabilistic Inference with Generating Functions for Poisson Latent Variable Models
Kevin Winner · Daniel Sheldon
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Poster
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Tue 9:00
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A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics
William Hoiles · Mihaela van der Schaar
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Oral
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Tue 2:40
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Bayesian Intermittent Demand Forecasting for Large Inventories
Matthias W Seeger · David Salinas · Valentin Flunkert
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Poster
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Tue 9:00
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Bayesian Intermittent Demand Forecasting for Large Inventories
Matthias W Seeger · David Salinas · Valentin Flunkert
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Workshop
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Sat 7:30
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From Hype-Cycle to Reality of Predictive Analytics (a Time Series Forecasting perspective): Sven Crone (Lancaster Centre for Forecasting, Lancaster Univ.)
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Poster
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Wed 9:00
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Infinite Hidden Semi-Markov Modulated Interaction Point Process
matt zhang · Peng Lin · Peng Lin · Ting Guo · Yang Wang · Yang Wang · Fang Chen
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Poster
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Mon 9:00
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Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis
Yoshinobu Kawahara
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Poster
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Tue 9:00
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A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
Steven Cheng-Xian Li · Benjamin Marlin
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Poster
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Tue 9:00
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SDP Relaxation with Randomized Rounding for Energy Disaggregation
Kiarash Shaloudegi · András György · Csaba Szepesvari · Wilsun Xu
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