6 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
On the Optimal Recovery of Graph Signals
Simon Foucart, Chunyang Liao, Nate Veldt
Learning a smooth graph signal from partially observed data is a well-studied task in graph-based machine learning. We consider this task from the perspective of optimal recovery,…
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Mingrui Liu, Zhenxun Zhuang, Yunwei Lei +1
In distributed training of deep neural networks, people usually run Stochastic Gradient Descent (SGD) or its variants on each machine and communicate with other machines periodical…
Learning from Non-Random Data in Hilbert Spaces: An Optimal Recovery Perspective
Simon Foucart, Chunyang Liao, Shahin Shahrampour +1
The notion of generalization in classical Statistical Learning is often attached to the postulate that data points are independent and identically distributed (IID) random variable…