Johannes P. Dürholt

Thanks for the info. I will try to setup a simple MWE for this in the next month. Maybe I will come back with some questions then ;)

Hi, I just tested using an NN ensemble within botorch and it works, both for analytical and as MC acqfs. I just represented the posterior as multivariate normal and used...

Yes, I calculate the mean and variance over the prediction of each NN in the ensemble of NNs. With the mean and the variance alone, I can already use analytic...

Thanks for sharing. Looks promising. I also try to add my implementation based on the multivariate normal at some point in the next weeks. Then both options are available.

I will first file a PR with the simpler solution in `get_polytope_samples` for the case that we have actually bounds. For the case without having bounds, I am not yet...

Hi Max, you are right, the user has to define the batch_shap arg, but from my perspective this is not a problem as he can do this also in the...

So you mean to not pass the class but the instantiated model to the `batch_cross_validation` method. Then to expand the transforms and reinstantiate the model with the expanded scalers? This...

I like the idea of just passing the transform class as `model_kwargs = {"outcome_transform": Standardize}` and then constructing it within `batch_cross_validation`. Could be then necessary to also be able to...

Hi @Balandat, thanks for the quick response. A prototype based on a single task model would be sufficient for the start, if this works properly one could extend it to...

Hi @Balandat, this sounds like a plan. Modelling outcome and feasibility independently looks like the key for me. Another possibility for cetain cases could be to X values in the...