uopt_presi/prep/02Intro/q

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Motivation
<l2st>
AD is super important...
good AD = complicated models -> Many Parameters
Evaluation dependent on very few datapoints->Optimization impossible
</l2st>
Open Challenges
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Evaluate without testing data
Formalisation of existing ideas
Numerical assessment of them
</l2st>
Contribution
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Suggest new methods for AE
Compare methods on many datasets
Seperate into parameter and hyperparameter optimisation
</l2st>