Trees complicate it a bit more. I've never done it for something like that, but check this instance weight input to xgboost as an example. In the xgboost fit function, there is an input for sample_weight.

I know that tensorflow has a new-ish library for trees. You could manually write a gradient descent loop with modified minibatch gradients there, potentially.