research
∙
01/01/2023
Theoretical Characterization of How Neural Network Pruning Affects its Generalization
It has been observed in practice that applying pruning-at-initialization...
share
research
∙
01/01/2023
Sharper analysis of sparsely activated wide neural networks with trainable biases
This work studies training one-hidden-layer overparameterized ReLU netwo...
research
∙
03/27/2022
On the Neural Tangent Kernel Analysis of Randomly Pruned Wide Neural Networks
We study the behavior of ultra-wide neural networks when their weights a...
research
∙
10/27/2019
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition
Alternating least squares is the most widely used algorithm for CP tenso...
research
∙
01/10/2019
