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Workshop
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Sat 12:35
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Shared Stochastic Gaussian process Decoders: A Probabilistic Generative model for Quasar Spectra
Vidhi Ramesh · Anna-Christina Eilers
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Poster
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Thu 13:30
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Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
Ba-Hien Tran · Babak Shahbaba · Stephan Mandt · Maurizio Filippone
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Workshop
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Implications of Gaussian process kernel mismatch for out-of-distribution data
Beau Coker · Finale Doshi-Velez
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Poster
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Thu 16:30
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Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
Louis Chi-Chun Tiao · Vincent Dutordoir · Victor Picheny
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Poster
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Thu 13:30
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Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
Shion Takeno · Yu Inatsu · Masayuki Karasuyama
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Poster
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Tue 14:00
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Free-Form Variational Inference for Gaussian Process State-Space Models
Xuhui Fan · Edwin V. Bonilla · Terence O'kane · Scott SIsson
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Oral
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Thu 19:12
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Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
Louis Chi-Chun Tiao · Vincent Dutordoir · Victor Picheny
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Workshop
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Functional Renyi Differential Privacy for Generative Modeling
Dihong Jiang · Sun Sun · Yaoliang Yu
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Workshop
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Sparse Function-space Representation of Neural Networks
Aidan Scannell · Riccardo Mereu · Paul Chang · Ella Tamir · Joni Pajarinen · Arno Solin
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Poster
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Tue 14:00
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Markovian Gaussian Process Variational Autoencoders
Harrison Zhu · Carles Balsells Rodas · Yingzhen Li
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Poster
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Wed 17:00
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Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
Liam Hodgkinson · Chris van der Heide · Fred Roosta · Michael Mahoney
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Workshop
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Longitudinal Variational Autoencoder for Compositional Data Analysis
Mine Öğretir · Harri Lähdesmäki · Jamie Norton
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