NOMADD fits a model on each past time period, compresses parameter changes with low-rank SVD, and extrapolates a damped linear trend to predict the model's future boundary, improving drift robustness across models from XGBoost to TabPFN.
Drift-Resilient
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NOMADD: Numerical Optimization of Models Adapting to Data Drift
NOMADD fits a model on each past time period, compresses parameter changes with low-rank SVD, and extrapolates a damped linear trend to predict the model's future boundary, improving drift robustness across models from XGBoost to TabPFN.