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stat.ML2026
Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions
Sehwan Kim, Yan Sun, Faming Liang
Over the past decade, deep neural networks (DNNs) have achieved remarkable success on complex machine-learning tasks, yet the theoretical foundations of their performance remain in…
stat.ML2026
A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature
Chaeyeon Lee, Sehwan Kim, Hyungrok Do
Flexible continuous-time survival modeling is critical for capturing complex time-varying hazard dynamics in high-dimensional data; however, training such models remains challengin…