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math.PR2019
Hypocoercivity properties of adaptive Langevin dynamics
Benedict Leimkuhler, Matthias Sachs, Gabriel Stoltz
Adaptive Langevin dynamics is a method for sampling the Boltzmann-Gibbs distribution at prescribed temperature in cases where the potential gradient is subject to stochastic pertur…
stat.ME2019★ 1 cited
Efficient posterior sampling for high-dimensional imbalanced logistic regression
Deborshee Sen, Matthias Sachs, Jianfeng Lu +1
High-dimensional data are routinely collected in many areas. We are particularly interested in Bayesian classification models in which one or more variables are imbalanced. Current…