2 papers
cs.LG2026
Path-Based Gradient Boosting for Graph-Level Prediction
Claudio Meggio, Johan Pensar, Riccardo De Bin
We propose PathBoost, a gradient tree boosting method for graph-level classification and regression that learns discriminative path-based features directly from the input graph str…
stat.ML2025
Uncertainty quantification in automated valuation models with spatially weighted conformal prediction
Anders Hjort, Gudmund Horn Hermansen, Johan Pensar +1
Non-parametric machine learning models, such as random forests and gradient boosted trees, are frequently used to estimate house prices due to their predictive accuracy, but a main…