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Parameter Optimization with Conscious Allocation (POCA)
The performance of modern machine learning algorithms depends upon the selection of a set of hyperparameters.
Impact of News on the Commodity Market: Dataset and Results
Over the last few years, machine learning based methods have been applied to extract information from news flow in the financial domain.
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning
The idea is based on the approximation of the lower level optimal value function mapping, which is an important mapping in bilevel optimization and helps in reducing the bilevel problem to a single level constrained optimization task.
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