1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization
Zitao Song, Cedar Site Bai, Zhe Zhang +2
Adaptive methods like Adam have become the standard for large-scale vector and Euclidean optimization due to their coordinate-wise adaptation with a second-orde…
q-fin.PM2022★ 1 cited
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading
Zitao Song, Xuyang Jin, Chenliang Li
In recent years, many practitioners in quantitative finance have attempted to use Deep Reinforcement Learning (DRL) to build better quantitative trading (QT) strategies. Neverthele…