-
Due to the way we implemented surrogates, i.e., by associating the sampling routines to each surrogate. We incurred a new problem: when we use these surrogates in the context of SBO (Surrogate Based O…
-
This issue is intended to document and consolidate our discussions regarding the main features that AutoEmulate offers in order to achieve its goal: "to replace simulations with fast, accurate emulato…
-
Architecture Optimization - Search Strategy - Search Policy
# Reference
# Brief
Architecture Optimization | Description | Examples
-- | -- | --
Random & Gird Search |
EA - Evolutionar…
-
As far as I understand:
- Bayesian Optimization is available in tidymodels - tune using the function `tune_bayes`, and
- the `tune_bayes` function uses `GPfit::GP_fit()` to fit a Gaussian Process a…
-
Hi,
I'm evaluating the capabilities of SMT to perform surrogate based global optimization. The problem consists of optimization of a black-box function having mixed variables (continuous-7 and disc…
-
There is very little information in documentation so based on source code it seems to me there are such option to control optimization process (all from https://github.com/PKU-DAIR/open-box/blob/96841…
rmrmg updated
6 months ago
-
Superpowers:
1. Enhance exploration efficiency by dynamically adjusting the exploration parameter based on optimization progress.
2.Upgrade surrogate models to automatically adapt complexity, incorp…
-
1. Description
Plot in sample R2 for at the respective iteration (using all observations up to current iteration)
2. Open topics
-
Investigate different classifiers that optimize AUC directly instead of some surrogate .
I'm aware of the following classifiers that support AUC optimization::
- Ranking SVM (e.g. svmlight or Fabian'…
-
### Introduction
`test_tSP_opt_nograd` in `tests/test_surrogates.py` seems to be flaky when all seed-setting code (e.g. `np.random.seed(0)` or `tf.random.set_seed(0)`) is commented out.
In commit…