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Workshop
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Fri 14:35
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Invited talk: Variational Inference in Deep Gaussian Processes
Andreas Damianou
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Workshop
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Fri 14:20
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Contributed talk: Scalable Logit Gaussian Process Classification
Florian Wenzel
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Poster
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Tue 18:30
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Streaming Sparse Gaussian Process Approximations
Thang Bui · Cuong Nguyen · Richard Turner
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Tutorial
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Mon 10:45
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Deep Probabilistic Modelling with Gaussian Processes
Neil D Lawrence
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Oral
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Wed 16:35
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Convolutional Gaussian Processes
Mark van der Wilk · Carl Edward Rasmussen · James Hensman
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Spotlight
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Wed 17:15
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Multiresolution Kernel Approximation for Gaussian Process Regression
Yi Ding · Risi Kondor · Jonathan Eskreis-Winkler
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Poster
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Tue 18:30
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Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma
Zhuoran Yang · Krishnakumar Balasubramanian · Zhaoran Wang · Han Liu
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Poster
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Tue 18:30
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Gaussian Quadrature for Kernel Features
Tri Dao · Christopher M De Sa · Christopher Ré
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Workshop
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Sat 16:30
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Invited talk: Quantifying and reducing uncertainties on sets under Gaussian Process priors
David Ginsbourger
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Poster
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Mon 18:30
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Expectation Propagation for t-Exponential Family Using q-Algebra
Futoshi Futami · Issei Sato · Masashi Sugiyama
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Spotlight
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Wed 17:25
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Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni · Marc Deisenroth
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Spotlight
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Wed 17:50
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Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
Ahmed M. Alaa · Mihaela van der Schaar
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