Shashanka Ubaru

Run Procrustes, Run! On the convergence of accelerated Procrustes Flow.

2018 · arXiv (Cornell University)

In this work, we present theoretical results on the convergence of non-convex accelerated gradient descent in matrix factorization models. The technique is applied to matrix sensing problems with squared loss, for the estimation of a …

Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping

2020 · arXiv (Cornell University)

In modern multilabel classification problems, each data instance belongs to a small number of classes from a large set of classes. In other words, these problems involve learning very sparse binary label vectors. Moreover, in …

Quantum Graph Transformers

2023

We propose Quantum Graph Transformers (QGT), a novel approach for realizing the Transformer architecture for graph learning with quantum processors. QGT is built on top of the Graph Trans-former (GT) architecture and addresses the main …