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cs.LG2026
TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
Mykola Pinchuk
Autonomous coding agents can produce strong tabular baselines quickly on Kaggle-style tasks. Practical value depends on end-to-end correctness and reliability under time limits. Th…
cs.LG2026
Time Aggregation Features for XGBoost Models
Mykola Pinchuk
This paper studies time aggregation features for XGBoost models in click-through rate prediction. The setting is the Avazu click-through rate prediction dataset with strict out-of-…
cs.LG2026
Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
Mykola Pinchuk
Many applied problems contain signal that becomes clear only after combining multiple raw measurements. Ratios and rates are common examples. In gradient boosted trees, this combin…