3 papers
stat.ML2026
Revisiting Randomization in Greedy Model Search
Xin Chen, Jason M. Klusowski, Yan Shuo Tan +1
Feature subsampling is a core component of random forests and other ensemble methods. While recent theory suggests that this randomization acts solely as a variance reduction mecha…
math.OC2025
Two Innovations in Inexact Augmented Lagrangian Methods for Convex Optimization
Jonathan Eckstein, Chang Yu
This paper presents two new techniques relating to inexact solution of subproblems in augmented Lagrangian methods for convex programming. The first involves combining a relative e…
cs.LG2025
Gradient Boosting Decision Tree with LSTM for Investment Prediction
Chang Yu, Fang Liu, Jie Zhu +5
This paper proposes a hybrid framework combining LSTM (Long Short-Term Memory) networks with LightGBM and CatBoost for stock price prediction. The framework processes time-series f…