See compressive sensing for a fruitful sub-field where you are trying to identify sparse models from the data
and general nonparametric regression.
A major problem here is model selection, which you can’t do in the traditional way, e.g. with stepwise selection or
Or just take the most common option: ignore the details and use a neural net.
Alessandro Rinaldo, Topics in High Dimensional Statistics: