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06/06/2023
Machine learning in and out of equilibrium
The algorithms used to train neural networks, like stochastic gradient d...
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11/14/2022
Path-following methods for Maximum a Posteriori estimators in Bayesian hierarchical models: How estimates depend on hyperparameters
Maximum a posteriori (MAP) estimation, like all Bayesian methods, depend...
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06/09/2022
Principal Trade-off Analysis
This paper develops Principal Trade-off Analysis (PTA), a decomposition ...
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05/19/2022
Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors
This paper introduces a computational framework to incorporate flexible ...
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11/26/2021
