5 citations · 8 across the 4 of their papers we have counts for
4 papers
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
Yaxin Fang, Faming Liang
With the advancement of data science, the collection of increasingly complex datasets has become commonplace. In such datasets, the data dimension can be extremely high, and the un…
Fast Value Tracking for Deep Reinforcement Learning
Frank Shih, Faming Liang
Reinforcement learning (RL) tackles sequential decision-making problems by creating agents that interacts with their environment. However, existing algorithms often view these prob…
Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang, Yan Sun, Faming Liang
Sparse deep learning has become a popular technique for improving the performance of deep neural networks in areas such as uncertainty quantification, variable selection, and large…
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
Yan Sun, Wenjun Xiong, Faming Liang
Deep learning has powered recent successes of artificial intelligence (AI). However, the deep neural network, as the basic model of deep learning, has suffered from issues such as…