32 citations · 43 across the 4 of their papers we have counts for
6 papers
Inference with generalizable classifier predictions
Ciaran Evans, Zara Y. Weinberg, Manojkumar A. Puthenveedu +1
This paper addresses the problem of making statistical inference about a population that can only be identified through classifier predictions. The problem is motivated by scientif…
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing
Kartik Goyal, Chris Dyer, Christopher Warren +2
We propose a deep and interpretable probabilistic generative model to analyze glyph shapes in printed Early Modern documents. We focus on clustering extracted glyph images into und…
Fairness Evaluation in Presence of Biased Noisy Labels
Riccardo Fogliato, Max G'Sell, Alexandra Chouldechova
Risk assessment tools are widely used around the country to inform decision making within the criminal justice system. Recently, considerable attention has been devoted to the ques…
Post-Selection Inference for Changepoint Detection Algorithms with Application to Copy Number Variation Data
Sangwon Hyun, Kevin Lin, Max G'Sell +1
Changepoint detection methods are used in many areas of science and engineering, e.g., in the analysis of copy number variation data, to detect abnormalities in copy numbers along…
Fairer and more accurate, but for whom?
Alexandra Chouldechova, Max G'Sell
Complex statistical machine learning models are increasingly being used or considered for use in high-stakes decision-making pipelines in domains such as financial services, health…
False Variable Selection Rates in Regression
Max Grazier G'Sell, Trevor Hastie, Robert Tibshirani
There has been recent interest in extending the ideas of False Discovery Rates (FDR) to variable selection in regression settings. Traditionally the FDR in these settings has been…