Deanna Needell

Semi-supervised NMF Models for Topic Modeling in Learning Tasks

2020 · arXiv (Cornell University)

We propose several new models for semi-supervised nonnegative matrix factorization (SSNMF) and provide motivation for SSNMF models as maximum likelihood estimators given specific distributions of uncertainty. We present multiplicative updates training methods for each new …

Distributed randomized Kaczmarz for the adversarial workers

2022 · arXiv (Cornell University)

Developing large-scale distributed methods that are robust to the presence of adversarial or corrupted workers is an important part of making such methods practical for real-world problems. Here, we propose an iterative approach that is …