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stat.ML2026
Deep Single-Index Fréchet Regression
Muqing Cui, Yidong Zhou, Su I Iao +1
Predicting outputs that are located in non-Euclidean spaces, such as probability distributions, networks, and symmetric positive-definite matrices, is becoming increasingly importa…
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…