Xunpeng Huang

Confidence-Aware Matrix Factorization for Recommender Systems

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Collaborative filtering (CF), particularly matrix factorization (MF) based methods, have been widely used in recommender systems. The literature has reported that matrix factorization methods often produce superior accuracy of rating prediction in recommender systems. However, …

Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs

2020 · arXiv (Cornell University)

Adaptive gradient methods have attracted much attention of machine learning communities due to the high efficiency. However their acceleration effect in practice, especially in neural network training, is hard to analyze, theoretically. The huge gap …