How to iron out rough landscapes and get optimal performances: Averaged Gradient Descent and its application to tensor PCA

29 May 2019

Papers citing "How to iron out rough landscapes and get optimal performances: Averaged Gradient Descent and its application to tensor PCA"

2 / 2 papers shown

Title
Sharp Analysis of Power Iteration for Tensor PCA Yuchen Wu Kangjie Zhou 23 0 0 02 Jan 2024
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models Alexandru Damian Eshaan Nichani Rong Ge Jason D. Lee MLT 34 33 0 18 May 2023