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cs.LG2024
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
Matthew Lau, Ismaila Seck, Athanasios P Meliopoulos +2
The inability to linearly classify XOR has motivated much of deep learning. We revisit this age-old problem and show that linear classification of XOR is indeed possible. Instead o…
cs.LG2024
Conformal Prediction via Regression-as-Classification
Etash Guha, Shlok Natarajan, Thomas Möllenhoff +2
Conformal prediction (CP) for regression can be challenging, especially when the output distribution is heteroscedastic, multimodal, or skewed. Some of the issues can be addressed…