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Vincent Adam

Variational Gaussian Process Diffusion Processes

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Jun 03, 2023
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Dual Parameterization of Sparse Variational Gaussian Processes

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Nov 05, 2021
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Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow

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Apr 13, 2021
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Sparse Algorithms for Markovian Gaussian Processes

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Mar 19, 2021
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A Framework for Interdomain and Multioutput Gaussian Processes

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Mar 02, 2020
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Doubly Sparse Variational Gaussian Processes

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Jan 15, 2020
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Disentangled Skill Embeddings for Reinforcement Learning

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Jun 21, 2019
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Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era

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Feb 26, 2019
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Scalable GAM using sparse variational Gaussian processes

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Dec 28, 2018
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Discrete flow posteriors for variational inference in discrete dynamical systems

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May 28, 2018
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