Search Results for author: Emma Pierson

Found 10 papers, 8 papers with code

Quantifying Inequality in Underreported Medical Conditions

1 code implementation8 Oct 2021 Divya Shanmugam, Emma Pierson

We provide a suite of experiments on synthetic and real health data that demonstrate our method's ability to recover the relative prevalence more accurately than do baselines, and the method's robustness to plausible violations of the covariate shift assumption.

Ethical Machine Learning in Health Care

no code implementations22 Sep 2020 Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi

The use of machine learning (ML) in health care raises numerous ethical concerns, especially as models can amplify existing health inequities.


Concept Bottleneck Models

2 code implementations ICML 2020 Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang

We seek to learn models that we can interact with using high-level concepts: if the model did not think there was a bone spur in the x-ray, would it still predict severe arthritis?

Inferring Multidimensional Rates of Aging from Cross-Sectional Data

1 code implementation12 Jul 2018 Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang

Motivated by the study of human aging, we present an interpretable latent-variable model that learns temporal dynamics from cross-sectional data.

Time Series

A large-scale analysis of racial disparities in police stops across the United States

3 code implementations18 Jun 2017 Emma Pierson, Camelia Simoiu, Jan Overgoor, Sam Corbett-Davies, Vignesh Ramachandran, Cheryl Phillips, Sharad Goel

We find that black drivers are stopped more often than white drivers relative to their share of the driving-age population, but that Hispanic drivers are stopped less often than whites.


SIMLR: A Tool for Large-Scale Genomic Analyses by Multi-Kernel Learning

1 code implementation21 Mar 2017 Bo Wang, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou

We here present SIMLR (Single-cell Interpretation via Multi-kernel LeaRning), an open-source tool that implements a novel framework to learn a sample-to-sample similarity measure from expression data observed for heterogenous samples.

Dimensionality Reduction

Fast Threshold Tests for Detecting Discrimination

1 code implementation27 Feb 2017 Emma Pierson, Sam Corbett-Davies, Sharad Goel

Threshold tests have recently been proposed as a useful method for detecting bias in lending, hiring, and policing decisions.

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