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log marginal likelihood

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variational inference (3) gaussian process (2) sparse variational (1) infinite series (1) sparse outlier (1) probabilistic regression (1) large dataset (1) regression model (1) cholesky decomposition (1) probabilistic bound (1)

Papers

Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Adaptive Cholesky Gaussian Processes AISTATS 2023 Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021 SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models ICLR 2020 The Thermodynamic Variational Objective NeurIPS 2019