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29 Results
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Poster
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Thu 16:30 |
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models Rui Li · ST John · Arno Solin |
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Workshop
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Implications of kernel mismatch for OOD data Beau Coker · Finale Doshi-Velez |
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Oral
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Thu 18:32 |
Memory-Based Dual Gaussian Processes for Sequential Learning Paul Chang · Prakhar Verma · ST John · Arno Solin · Khan Emtiyaz |
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Poster
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Tue 14:00 |
Memory-Based Dual Gaussian Processes for Sequential Learning Paul Chang · Prakhar Verma · ST John · Arno Solin · Khan Emtiyaz |
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Poster
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Wed 17:00 |
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes Shion Takeno · Masahiro Nomura · Masayuki Karasuyama |
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Workshop
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Beyond Intuition, a Framework for Applying GPs to Real-World Data Kenza Tazi · Jihao Andreas Lin · ST John · Hong Ge · Richard E Turner · Ross Viljoen · Alex Gardner |
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Poster
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Wed 17:00 |
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis Hu Sun · Ward Manchester · Meng Jin · Yang Liu · Yang Chen |
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Poster
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Tue 17:00 |
Cluster-Specific Predictions with Multi-Task Gaussian Processes Arthur Leroy · Pierre Latouche · Benjamin Guedj · Servane Gey |
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Poster
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Thu 13:30 |
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents Renato Berlinghieri · Brian Trippe · David Burt · Ryan Giordano · Kaushik Srinivasan · Tamay Özgökmen · Junfei Xia · Tamara Broderick |
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Poster
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Wed 14:00 |
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification Juan Maroñas Molano · Daniel Hernández-Lobato |
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Workshop
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Meta-Learning Deep Kernels for Latent Force Inference Jacob Moss · Felix Opolka · Jeremy England · Pietro Lió |
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Workshop
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Dimensionality Reduction as Probabilistic Inference Aditya Ravuri · Francisco Vargas · Vidhi Ramesh · Neil Lawrence |