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cs.LG2026
Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative
Amartya Mukherjee, Tristan Milne, Kry Yik-Chau Lui +2
Outliers are important for stress-testing algorithms and understanding system behaviour under rare conditions. Despite being commonly described as low-likelihood events, existing g…
stat.ML2026
LassoFlexNet: Flexible Neural Architecture for Tabular Data
Kry Yik Chau Lui, Cheng Chi, Kishore Basu +1
Despite their dominance in vision and language, deep neural networks often underperform relative to tree-based models on tabular data. To bridge this gap, we incorporate five key i…