The CCIMI blog

On the convergence of the Hamiltonian Monte Carlo algorithm and other irreversible MCMC methods

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Optimal Transport for Machine Learning

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Multiscale Analysis of Bayesian CART

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Identifying Cointegration by Eigenanalysis

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Classification with unknown class conditional label noise on non-compact feature spaces

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On Estimation of Unnormalized Density Models

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Asymptotic normality of certain transformation averages

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Distributed Statistics à la Economics

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On the robustness of gradient-based MCMC algorithms

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Regularized linear autoencoders, the Morse theory of loss, and backprop in the brain

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