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11/09/2022
Sparse Bayesian Lasso via a Variable-Coefficient ℓ_1 Penalty
Modern statistical learning algorithms are capable of amazing flexibilit...
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12/14/2021
Triangulation candidates for Bayesian optimization
Bayesian optimization is a form of sequential design: idealize input-out...
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05/01/2021
Neko: a Library for Exploring Neuromorphic Learning Rules
The field of neuromorphic computing is in a period of active exploration...
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01/15/2021
Sensitivity Prewarping for Local Surrogate Modeling
In the continual effort to improve product quality and decrease operatio...
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05/05/2020
Towards On-Chip Bayesian Neuromorphic Learning
If edge devices are to be deployed to critical applications where their ...
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07/26/2019
Sequential Learning of Active Subspaces
In recent years, active subspace methods (ASMs) have become a popular me...
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04/29/2019