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39 Results
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Workshop
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Fri 11:20 |
Contributed talk: Safe Policy Search with Gaussian Process Models Kyriakos Polymenakos · Stephen J Roberts |
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Poster
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Tue 18:30 |
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes Zhenwen Dai · Mauricio Álvarez · Neil Lawrence |
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Poster
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Tue 18:30 |
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp · Matteo Turchetta · Angela Schoellig · Andreas Krause |
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Poster
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Wed 18:30 |
Process-constrained batch Bayesian optimisation Pratibha Vellanki · Santu Rana · Sunil Gupta · David Rubin · Alessandra Sutti · Thomas Dorin · Murray Height · Paul Sanders · Svetha Venkatesh |
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Poster
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Wed 18:30 |
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni · Marc Deisenroth |
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Poster
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Tue 18:30 |
Scalable Log Determinants for Gaussian Process Kernel Learning Kun Dong · David Eriksson · Hannes Nickisch · David Bindel · Andrew Wilson |
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Poster
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Tue 18:30 |
Identification of Gaussian Process State Space Models Stefanos Eleftheriadis · Tom Nicholson · Marc Deisenroth · James Hensman |
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Poster
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Wed 18:30 |
Targeting EEG/LFP Synchrony with Neural Nets Yitong Li · michael Murias · samantha Major · geraldine Dawson · Kafui Dzirasa · Lawrence Carin · David Carlson |
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Poster
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Mon 18:30 |
Lookahead Bayesian Optimization with Inequality Constraints Remi Lam · Karen Willcox |
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Poster
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Mon 18:30 |
Scalable Levy Process Priors for Spectral Kernel Learning Phillip Jang · Andrew Loeb · Matthew Davidow · Andrew Wilson |
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Poster
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Tue 18:30 |
Bayesian Optimization with Gradients Jian Wu · Matthias Poloczek · Andrew Wilson · Peter Frazier |
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Poster
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Tue 18:30 |
GP CaKe: Effective brain connectivity with causal kernels Luca Ambrogioni · Max Hinne · Marcel Van Gerven · Eric Maris |