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posterior mean

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bayesian inference (4) gaussian process (3) ordinary differential equation (2) variational inference (2) finite-data guarantee (1) preconditioned fisher divergence (1) finite sample bound (1) integral operator (1) divergence bound (1) bayesian central limit theorem (1)

Papers

How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences JMLR 2025 Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration ICLR 2025 Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025 A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024 An Instability in Variational Inference for Topic Models ICML 2019 Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees AISTATS 2019 Probabilistic Linear Multistep Methods NeurIPS 2016 Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014