Bidirectional Information Flow enables continuous two-way communication in hierarchical Gaussian processes for Bayesian optimization, improving sample efficiency, training robustness, and modular subtask reuse while significantly outperforming unidirectional and vanilla methods.
Counterfactual maps use volumetric KD trees to find globally optimal counterfactual explanations for tree ensembles via nearest-region search with millisecond queries.