3 citations · 11 across the 23 of their papers we have counts for
7 papers · 1 filter
Multi-Randomized Kaczmarz for Latent Class Regression
Erin George, Yotam Yaniv, Deanna Needell
Linear regression is effective at identifying interpretable trends in a data set, but averages out potentially different effects on subgroups within data. We propose an iterative a…
Inference of Media Bias and Content Quality Using Natural-Language Processing
Zehan Chao, Denali Molitor, Deanna Needell +1
Media bias can significantly impact the formation and development of opinions and sentiments in a population. It is thus important to study the emergence and development of partisa…
Multi-scale Hybridized Topic Modeling: A Pipeline for Analyzing Unstructured Text Datasets via Topic Modeling
Keyi Cheng, Stefan Inzer, Adrian Leung +6
We propose a multi-scale hybridized topic modeling method to find hidden topics from transcribed interviews more accurately and efficiently than traditional topic modeling methods.…
Online Signal Recovery via Heavy Ball Kaczmarz
Benjamin Jarman, Yotam Yaniv, Deanna Needell
Recovering a signal from a sequence of linear measurements is an important problem in areas such as computerized tomography and compressed sensing. In thi…
Population-Based Hierarchical Non-negative Matrix Factorization for Survey Data
Xiaofu Ding, Xinyu Dong, Olivia McGough +6
Motivated by the problem of identifying potential hierarchical population structure on modern survey data containing a wide range of complex data types, we introduce population-bas…
Semi-supervised Nonnegative Matrix Factorization for Document Classification
Jamie Haddock, Lara Kassab, Sixian Li +9
We propose new semi-supervised nonnegative matrix factorization (SSNMF) models for document classification and provide motivation for these models as maximum likelihood estimators.…