small data · strange models · quiet experiments
ML researcher and Python developer focused on small data and conformal prediction — models and libraries that stay honest when samples are few.
Currently at Beijing Institute of Technology, Computer Science.
SELECTED WORKS · 2026
gradient boosting for small datasets
0.9101 ROC-AUC · 13.4 ms fit · 0.29 ms predict · 22 datasets
non-parametric regression & classification with conformal sets
NON-PARAMETRIC · CONFORMAL SETS · SMALL DATA
PREPRINTS · PUBLICATIONS
Gradient Boosting with Robust Leaf Regularization for Small-Sample Tabular Data
ZENODO · 2026 · Emelyanov, I. · DOI: 10.5281/zenodo.21934674
Non-Parametric Regression & Classification with Conformal Sets
PREPRINT · IN PREPARATION · Emelyanov, I. · PyPI · smallmlp

