Susan Athey

Orcid: 0000-0001-6934-562X

According to our database1, Susan Athey authored at least 49 papers between 1990 and 2024.

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Bibliography

2024
CAREER: A Foundation Model for Labor Sequence Data.
Trans. Mach. Learn. Res., 2024

Policy Learning with Adaptively Collected Data.
Manag. Sci., 2024

Optimal Experimental Design for Staggered Rollouts.
Manag. Sci., 2024

Estimating Wage Disparities Using Foundation Models.
CoRR, 2024

LABOR-LLM: Language-Based Occupational Representations with Large Language Models.
CoRR, 2024

Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt.
CoRR, 2024

Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Offline Multi-Action Policy Learning: Generalization and Optimization.
Oper. Res., January, 2023

Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal.
CoRR, 2023

Federated Offline Policy Learning with Heterogeneous Observational Data.
CoRR, 2023

Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python.
CoRR, 2023

Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Stable learning establishes some common ground between causal inference and machine learning.
Nat. Mach. Intell., 2022

Battling the Coronavirus 'Infodemic' Among Social Media Users in Africa.
CoRR, 2022

Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning.
CoRR, 2022

Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracle.
CoRR, 2022

Learning Transferrable Representations of Career Trajectories for Economic Prediction.
CoRR, 2022

2021
Local Linear Forests.
J. Comput. Graph. Stat., 2021

Federated Causal Inference in Heterogeneous Observational Data.
CoRR, 2021

Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles.
CoRR, 2021

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Adapting to misspecification in contextual bandits with offline regression oracles.
Proceedings of the 38th International Conference on Machine Learning, 2021

Tractable contextual bandits beyond realizability.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
policytree: Policy learning via doubly robust empirical welfare maximization over trees.
J. Open Source Softw., 2020

Peaches, lemons, and cookies: Designing auction markets with dispersed information.
Games Econ. Behav., 2020

Survey Bandits with Regret Guarantees.
CoRR, 2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Confidence Intervals for Policy Evaluation in Adaptive Experiments.
CoRR, 2019

Sufficient Representations for Categorical Variables.
CoRR, 2019

Counterfactual Inference for Consumer Choice Across Many Product Categories.
CoRR, 2019

Balanced Linear Contextual Bandits.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
The Impact of Consumer Multi-homing on Advertising Markets and Media Competition.
Manag. Sci., 2018

Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption.
CoRR, 2018

Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data.
CoRR, 2018

Learning in Games with Lossy Feedback.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Stable Prediction across Unknown Environments.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Estimation Considerations in Contextual Bandits.
CoRR, 2017

SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements.
CoRR, 2017

Efficient Policy Learning.
CoRR, 2017

Structured Embedding Models for Grouped Data.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Context Selection for Embedding Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Machine Learning and Causal Inference for Policy Evaluation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2011
Use of the World Wide Web by the Portuguese Accommodation Industry.
J. Inf. Technol. Tour., 2011

2009
Designing markets: economics, computer science and the real world.
Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-2009), 2009

2007
Programming Standards for the Information Systems Curriculum.
Proceedings of the Reaching New Heights. 13th Americas Conference on Information Systems, 2007

2000
An Evaluation of Research Productivity in Academic IT.
Commun. Assoc. Inf. Syst., 2000

Where have all the women gone?
Proceedings of the Challenges of Information Technology Management in the 21st Century, 2000

1990
A Comparison of the Fortune 500 and AACSB Accredited Universities' Software Copying Policies.
J. Inf. Syst. Educ., 1990


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