Differentiable samplers for deep latent variable models. [PDF]
Philos Trans A Math Phys Eng Sci, 2023 Doucet A, Moulines E, Thin A.
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On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions. [PDF]
Philos Trans A Math Phys Eng Sci, 2023 Bandeira AS +3 more
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The Barker proposal: Combining robustness and efficiency in gradient-based MCMC. [PDF]
J R Stat Soc Series B Stat Methodol, 2022 Livingstone S, Zanella G.
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From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis. [PDF]
Entropy (Basel), 2023 Mai TT.
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Natural gradient enables fast sampling in spiking neural networks. [PDF]
Adv Neural Inf Process Syst, 2022 Masset P +4 more
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Adaptive Monte Carlo augmented with normalizing flows. [PDF]
Proc Natl Acad Sci U S A, 2022 Gabrié M +2 more
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Laplacian-P-splines for Bayesian inference in the mixture cure model. [PDF]
Stat Med, 2022 Gressani O, Faes C, Hens N.
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Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. [PDF]
Stat Comput, 2022 Zhang BJ, Marzouk YM, Spiliopoulos K.
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Posterior marginalization accelerates Bayesian inference for dynamical models of biological processes. [PDF]
iScience, 2023 Raimúndez E, Fedders M, Hasenauer J.
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"Exact" and Approximate Methods for Bayesian Inference: Stochastic Volatility Case Study. [PDF]
Entropy (Basel), 2021 Shapovalova Y.
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