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Jihao Andreas Lin

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Stochastic Gradient Descent for Gaussian Processes Done Right

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Oct 31, 2023
Jihao Andreas Lin, Shreyas Padhy, Javier Antorán, Austin Tripp, Alexander Terenin, Csaba Szepesvári, José Miguel Hernández-Lobato, David Janz

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Beyond Intuition, a Framework for Applying GPs to Real-World Data

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Jul 17, 2023
Kenza Tazi, Jihao Andreas Lin, Ross Viljoen, Alex Gardner, ST John, Hong Ge, Richard E. Turner

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Minimal Random Code Learning with Mean-KL Parameterization

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Jul 15, 2023
Jihao Andreas Lin, Gergely Flamich, José Miguel Hernández-Lobato

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Function-Space Regularization for Deep Bayesian Classification

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Jul 12, 2023
Jihao Andreas Lin, Joe Watson, Pascal Klink, Jan Peters

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Online Laplace Model Selection Revisited

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Jul 12, 2023
Jihao Andreas Lin, Javier Antorán, José Miguel Hernández-Lobato

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Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent

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Jun 20, 2023
Jihao Andreas Lin, Javier Antorán, Shreyas Padhy, David Janz, José Miguel Hernández-Lobato, Alexander Terenin

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Learning to Predict the 3D Layout of a Scene

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Nov 19, 2020
Jihao Andreas Lin, Jakob Brünker, Daniel Fährmann

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