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stat.ML2025
Fréchet Geodesic Boosting
Yidong Zhou, Su I Iao, Hans-Georg Müller
Gradient boosting has become a cornerstone of machine learning, enabling base learners such as decision trees to achieve exceptional predictive performance. While existing algorith…
stat.ML2025
End-to-End Deep Learning for Predicting Metric Space-Valued Outputs
Yidong Zhou, Su I Iao, Hans-Georg Müller
Many modern applications involve predicting structured, non-Euclidean outputs such as probability distributions, networks, and symmetric positive-definite matrices. These outputs a…
stat.ME2025
Measure Selection for Functional Linear Model
Su I Iao, Hans-Georg Müller
Advancements in modern science have led to an increased prevalence of functional data, which are usually viewed as elements of the space of square-integrable functions . Core…