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Workshop
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Fri 3:45
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Rob Trangucci: Stan Tutorial, with focus on Gaussian Processes
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Workshop
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Fri 0:30
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Hyunjik Kim: Scaling up the Automatic Statistician: Scalable Structure Discovery in Regression using Gaussian Processes
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Workshop
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Sat 6:30
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Modelling cell-cell interactions with spatial Gaussian processes.
Damien Arnol
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Poster
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Tue 9:00
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Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach
Remi Lam · Karen Willcox · David Wolpert
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Poster
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Mon 9:00
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Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
Matteo Turchetta · Felix Berkenkamp · Andreas Krause
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Poster
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Tue 9:00
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Gaussian Processes for Survival Analysis
Tamara Fernandez · Nicolas Rivera · Yee Whye Teh
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Poster
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Tue 9:00
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Understanding Probabilistic Sparse Gaussian Process Approximations
Matthias Bauer · Mark van der Wilk · Carl Edward Rasmussen
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Workshop
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Fri 7:00
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David Malmgren-Hansen: Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models
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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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Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria · Amit Deshpande · Pushmeet Kohli
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Poster
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Mon 9:00
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Stochastic Variational Deep Kernel Learning
Andrew Wilson · Zhiting Hu · Russ Salakhutdinov · Eric Xing
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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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