activity
20222025
most citedFrom fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model

2 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing math.OCShow all

1 paper · 1 filter

math.OC2025

Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential

Yuping Zheng, Andrew Lamperski

Stochastic gradient descent (SGD) is the main algorithm behind a large body of work in machine learning. In many cases, constraints are enforced via projections, leading to project…