9 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.IR2022★ 5 cited
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models
Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang +4
Deep learning techniques have been applied widely in industrial recommendation systems. However, far less attention has been paid to the overfitting problem of models in recommenda…
cs.LG2014★ 9 cited
SAME but Different: Fast and High-Quality Gibbs Parameter Estimation
Huasha Zhao, Biye Jiang, John Canny
Gibbs sampling is a workhorse for Bayesian inference but has several limitations when used for parameter estimation, and is often much slower than non-sampling inference methods. S…