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08/18/2023
Noise Sensitivity and Stability of Deep Neural Networks for Binary Classification
A first step is taken towards understanding often observed non-robustnes...
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04/06/2023
Optimal subsampling designs
Subsampling is commonly used to overcome computational and economical bo...
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02/04/2022
Elastic Gradient Descent and Elastic Gradient Flow: LARS Like Algorithms Approximating the Solution Paths of the Elastic Net
The elastic net combines lasso and ridge regression to fuse the sparsity...
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12/15/2021
Robust Neural Network Classification via Double Regularization
The presence of mislabeled observations in data is a notoriously challen...
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01/25/2021
Rapid mixing in unimodal landscapes and efficient simulatedannealing for multimodal distributions
We consider nearest neighbor weighted random walks on the d-dimensional ...
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01/03/2020
Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data
Recently, new methods for model assessment, based on subsampling and pos...
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04/24/2019
Bayesian leave-one-out cross-validation for large data
Model inference, such as model comparison, model checking, and model sel...
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01/11/2017