research
∙
06/12/2023
Contrastive Attention Networks for Attribution of Early Modern Print
In this paper, we develop machine learning techniques to identify unknow...
share
research
∙
06/14/2021
Inference with generalizable classifier predictions
This paper addresses the problem of making statistical inference about a...
research
∙
09/18/2020
Sequential changepoint detection for label shift in classification
Classifier predictions often rely on the assumption that new observation...
research
∙
05/04/2020
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing
We propose a deep and interpretable probabilistic generative model to an...
research
∙
03/30/2020
Fairness Evaluation in Presence of Biased Noisy Labels
Risk assessment tools are widely used around the country to inform decis...
research
∙
12/10/2018
Post-Selection Inference for Changepoint Detection Algorithms with Application to Copy Number Variation Data
Changepoint detection methods are used in many areas of science and engi...
research
∙
01/11/2018
Sharp instruments for classifying compliers and generalizing causal effects
It is well-known that, without restricting treatment effect heterogeneit...
research
∙
06/30/2017
Fairer and more accurate, but for whom?
Complex statistical machine learning models are increasingly being used ...
research
∙
04/14/2016