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cs.LG2025
Towards Scalable Meta-Learning of near-optimal Interpretable Models via Synthetic Model Generations
Kyaw Hpone Myint, Zhe Wu, Alexandre G. R. Day +1
Decision trees are widely used in high-stakes fields like finance and healthcare due to their interpretability. This work introduces an efficient, scalable method for generating sy…
cs.LG2022
ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction
Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal +2
Query similarity prediction task is generally solved by regression based models with square loss. Such a model is agnostic of absolute similarity values and it penalizes the regres…