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Goal: Compare XGBoost with a simple multi layer perceptron in a simple benchmark experiment.
1. We need to define the tasks:
Use three simple small tasks from OpenML: https://mlr3book.mlr-org.c…
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https://github.com/mathnet/mathnet-numerics/blob/f19641843048df073b80f6ecfcbb229d3258049b/src/Numerics/Optimization/LevenbergMarquardtMinimizer.cs#L161
Why is the vector length (`Pstep.L2Norm()`) c…
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http://www.benfrederickson.com/numerical-optimization/
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- PENNON/PENLAB
- http://insidehpc.com/2016/10/latest-nag-numerical-library-brings-new-optimization-modelling-suite-for-application-developers/
@gpipelee useful in the long-term?
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Primitive Series (`IntSeries`, `LongSeries`, etc.) are much more efficient than their object counterparts (`Series`, `Series`). They take up to 5x less memory per cell and provide opportunities to imp…
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problems with bounds from: Gratton, S., Mouffe, M., Sartenaer, A., Toint, P. L., & Tomanos, D. (2010). Numerical experience with a recursive trust-region method for multilevel nonlinear bound-constrai…
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The function `ScalarMinimizationResult FindMinimum(IScalarObjectiveFunction objective, double lowerBound, double upperBound)` (in Numerics.Optimization) does not respect the `lowerBound` argument.
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bt-88 updated
2 years ago
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Many neural network optimization and quantization methods may be a really good motivating example for "Chexo" because we probably never want to reason about the soundness of their numerical stability,…
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# Adding several acquisition functions
Currently we have Thompson Sampling and Probability of Improvement as acquisition functions. It would be ideal to include
- [x] Expected Improvement (EI).…
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I had a go at your tool and wanted to draw the diagram corresponding to the following problem:
```
(param A point)
(param B point)
(param C point)
(param D point)
(assert (= (uangle A B D) (uang…