618 citations · 771 across the 10 of their papers we have counts for
10 papers
Developing a Robust Computable Phenotype Definition Workflow to Describe Health and Disease in Observational Health Research
Jacob S. Zelko, Sarah Gasman, Shenita R. Freeman +4
Health informatics can inform decisions that practitioners, patients, policymakers, and researchers need to make about health and disease. Health informatics is built upon patient…
Assisted Living in the United States: an Open Dataset
Anton Stengel, Jaan Altosaar, Rebecca Dittrich +1
An assisted living facility (ALF) is a place where someone can live, have access to social supports such as transportation, and receive assistance with the activities of daily livi…
Assessing Phenotype Definitions for Algorithmic Fairness
Tony Y. Sun, Shreyas Bhave, Jaan Altosaar +1
Disease identification is a core, routine activity in observational health research. Cohorts impact downstream analyses, such as how a condition is characterized, how patient risk…
Evaluating representations by the complexity of learning low-loss predictors
William F. Whitney, Min Jae Song, David Brandfonbrener +2
We consider the problem of evaluating representations of data for use in solving a downstream task. We propose to measure the quality of a representation by the complexity of learn…
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
Kexin Huang, Jaan Altosaar, Rajesh Ranganath
Clinical notes contain information about patients that goes beyond structured data like lab values and medications. However, clinical notes have been underused relative to structur…
Noisin: Unbiased Regularization for Recurrent Neural Networks
Adji B. Dieng, Rajesh Ranganath, Jaan Altosaar +1
Recurrent neural networks (RNNs) are powerful models of sequential data. They have been successfully used in domains such as text and speech. However, RNNs are susceptible to overf…
Proximity Variational Inference
Jaan Altosaar, Rajesh Ranganath, David M. Blei
Variational inference is a powerful approach for approximate posterior inference. However, it is sensitive to initialization and can be subject to poor local optima. In this paper,…
Operator Variational Inference
Rajesh Ranganath, Jaan Altosaar, Dustin Tran +1
Variational inference is an umbrella term for algorithms which cast Bayesian inference as optimization. Classically, variational inference uses the Kullback-Leibler divergence to d…
Refrustration and competing orders in the prototypical Dy2Ti2O7 spin ice material
P. Henelius, T. Lin, M. Enjalran +6
Spin ices, frustrated magnetic materials analogous to common water ice, are exemplars of high frustration in three dimensions. Recent experimental studies of the low-temperature pr…
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections
Jingwei Zhang, Aaron Gerow, Jaan Altosaar +2
Weak topic correlation across document collections with different numbers of topics in individual collections presents challenges for existing cross-collection topic models. This p…