24 citations · 151 across the 43 of their papers we have counts for
3 papers · 1 filter
Regularized linear autoencoders recover the principal components, eventually
Xuchan Bao, James Lucas, Sushant Sachdeva +1
Our understanding of learning input-output relationships with neural nets has improved rapidly in recent years, but little is known about the convergence of the underlying represen…
Faster Graph Embeddings via Coarsening
Matthew Fahrbach, Gramoz Goranci, Richard Peng +2
Graph embeddings are a ubiquitous tool for machine learning tasks, such as node classification and link prediction, on graph-structured data. However, computing the embeddings for…
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Vijay Keswani, Oren Mangoubi, Sushant Sachdeva +1
We study a variant of a recently introduced min-max optimization framework where the max-player is constrained to update its parameters in a greedy manner until it reaches a first-…