João Gama

Boundary constraint strategies in hyperparameter optimization can dramatically improve model performance in streaming data contexts, outperforming traditional methods by a significant margin.

Causal structural priors can significantly enhance both the robustness and interpretability of anomaly detection in complex multivariate time series.