High-dimensional Bayesian optimization with projections using quantile Gaussian processes
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DOI: 10.1007/s11590-019-01433-w
Abstract: Key challenges of Bayesian optimization in high dimensions are both learning the response surface and optimizing an acquisition function. The acquisition function selects a new point to evaluate the black-box function. Both challenges can be… read more here.
Keywords: dimensional bayesian; optimization; optimization projections; high dimensional ... See more keywords
Trans-dimensional Bayesian inversion of airborne electromagnetic data for 2D conductivity profiles
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DOI: 10.1071/eg16139
Abstract: This paper presents the application of a novel trans-dimensional sampling approach to a time domain airborne electromagnetic (AEM) inverse problem to solve for plausible conductivities of the subsurface. Geophysical inverse field problems, such as time… read more here.
Keywords: trans dimensional; airborne electromagnetic; dimensional bayesian; conductivity ... See more keywords
Automated Filter Pruning Based on High-Dimensional Bayesian Optimization
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DOI: 10.1109/access.2022.3153025
Abstract: Filter pruning is necessary to efficiently deploy convolutional neural networks on edge devices that have limited computational resources and power budgets. With conventional filter pruning techniques, the same pruning rate is manually specified for different… read more here.
Keywords: filter pruning; bayesian optimization; dimensional bayesian; pruning rate ... See more keywords