Search Results - Power, Sam

Some aspects of robustness in modern Markov Chain Monte Carlo by Power, Sam, Vasdekis, Giorgos

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The sharp one-dimensional convex sub-Gaussian comparison constant by Davis, Damek, Power, Sam

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Towards practical PDMP sampling: Metropolis adjustments, locally adaptive step-sizes, and NUTS-based time lengths by Chevallier, Augustin, Power, Sam, Sutton, Matthew

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A New Proof of Sub-Gaussian Norm Concentration Inequality by Liu, Zishun, Power, Sam, Chen, Yongxin

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Wasserstein Contraction of Coordinate Ascent Variational Inference by Caprio, Rocco, Corenflos, Adrien, Power, Sam

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Analysis of Multiple-try Metropolis via Poincaré inequalities by Caprio, Rocco, Power, Sam, Wang, Andi Q.

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Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC by Andrieu, Christophe, Lee, Anthony, Power, Sam, Wang, Andi Q.

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Explicit convergence bounds for Metropolis Markov chains: isoperimetry, spectral gaps and profiles by Andrieu, Christophe, Lee, Anthony, Power, Sam, Wang, Andi Q.

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Weak Poincaré inequality comparisons for ideal and hybrid slice sampling by Power, Sam, Rudolf, Daniel, Sprungk, Björn, Wang, Andi Q.

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Prediction-Centric Uncertainty Quantification via MMD by Shen, Zheyang, Knoblauch, Jeremias, Power, Sam, Oates, Chris. J.

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Distributional Training Data Attribution: What do Influence Functions Sample? by Mlodozeniec, Bruno, Reid, Isaac, Power, Sam, Krueger, David, Erdogdu, Murat, Turner, Richard E., Grosse, Roger

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