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cs.LG2025
TabMixNN: A Unified Deep Learning Framework for Structural Mixed Effects Modeling on Tabular Data
Deniz Akdemir
We present TabMixNN, a flexible PyTorch-based deep learning framework that synthesizes classical mixed-effects modeling with modern neural network architectures for tabular data an…
cs.LG2025
Le Cam Distortion: A Decision-Theoretic Framework for Robust Transfer Learning
Deniz Akdemir
Distribution shift is the defining challenge of real-world machine learning. The dominant paradigm--Unsupervised Domain Adaptation (UDA)--enforces feature invariance, aligning sour…