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Learning Enabled Optimization: Towards a Fusion of Statistical Learning and Stochastic Optimization
Several emerging applications, such as “Analytics of Things" and “Integrative Analytics" call for a fusion of statistical learning (SL) and stochastic optimization (SO). The Learning Enabled Optimization paradigm fuses ...
A randomized method for handling a difficult function in a convex optimization problem, motivated by probabilistic programming
We propose a randomized gradient method for the handling of a convex function whose gradient computation is demanding. The method bears a resemblance to the stochastic approximation family. But in contrast to stochastic ...
Visualizing pre-service biology teachers´ conceptions about population dynamics in ecosystems
The Balance of Nature (BoN) metaphor leads to various naïve conceptions about ecosystem dynamics that do not address current scientific theories adequately. An appropriate alternative is the Flux of Nature (FoN) metaphor. ...