10 citations · 23 across the 6 of their papers we have counts for
7 papers
LABOR-LLM: Language-Based Occupational Representations with Large Language Models
Susan Athey, Herman Brunborg, Tianyu Du +2
This paper builds an empirical model that predicts a worker's next occupation as a function of the worker's occupational history. Because histories are sequences of occupations, th…
Digital interventions and habit formation in educational technology
Keshav Agrawal, Susan Athey, Ayush Kanodia +1
As online educational technology products have become increasingly prevalent, rich evidence indicates that learners often find it challenging to establish regular learning habits a…
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
Tianyu Du, Ayush Kanodia, Susan Athey
The is an open-source library for flexible, fast choice modeling with Python and PyTorch. provides a data s…
Personalized Recommendations in EdTech: Evidence from a Randomized Controlled Trial
Keshav Agrawal, Susan Athey, Ayush Kanodia +1
We study the impact of personalized content recommendations on the usage of an educational app for children. In a randomized controlled trial, we show that the introduction of pers…
CAREER: A Foundation Model for Labor Sequence Data
Keyon Vafa, Emil Palikot, Tianyu Du +3
Labor economists regularly analyze employment data by fitting predictive models to small, carefully constructed longitudinal survey datasets. Although machine learning methods offe…
Optimal Cost Almost-sure Reachability in POMDPs
Krishnendu Chatterjee, Martin Chmelík, Raghav Gupta +1
We consider partially observable Markov decision processes (POMDPs) with a set of target states and every transition is associated with an integer cost. The optimization objective…
Qualitative Analysis of POMDPs with Temporal Logic Specifications for Robotics Applications
Krishnendu Chatterjee, Martin Chmelík, Raghav Gupta +1
We consider partially observable Markov decision processes (POMDPs), that are a standard framework for robotics applications to model uncertainties present in the real world, with…