13 citations · 14 across the 2 of their papers we have counts for
2 papers
quant-ph2022★ 1 cited
Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks
Zhihao Zhang, Zhuoming Chen, Heyang Huang +1
As more practical and scalable quantum computers emerge, much attention has been focused on realizing quantum supremacy in machine learning. Existing quantum ML methods either (1)…
cs.LG2022★ 13 cited
Quantized Training of Gradient Boosting Decision Trees
Yu Shi, Guolin Ke, Zhuoming Chen +2
Recent years have witnessed significant success in Gradient Boosting Decision Trees (GBDT) for a wide range of machine learning applications. Generally, a consensus about GBDT's tr…