Publications

Published

[1] ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration. Andrew Estornell $^\dagger$ Jean-Francois Ton $^\dagger$, Yuanshun Yao, Yang Liu. International Conference on Representation Learning (ICLR) 2025 [paper link]

[2] Incentivizing Recourse through Auditing in Strategic Classification. Andrew Estornell, Sanmay Das, Yang Liu, Yatong Chen, Yevgeniy Vorobeychik. [TO APPEAR] International Joint Conference on Artificial Intellegence (IJCAI) 2023.

[3] Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents. Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik. [TO APPEAR] Coonference on Fairness Accountability and Transparency (FAccT) 2023. Also appeared in Learning with Strategic Agents (LSA) 2022 (awarded best paper). [paper link]

[4] Popularizing Fairness: Group Fairness and Individual Welfare. Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik. Conference on Artificial Intelligence (AAAI) 2023. [paper link]

[5] Location Spoofing Attacks on Autonomous Fleets. Jinghan Yang, Andrew Estornell, Yevgeniy Vorobeychik. Conference on Vehicle Security and Privacy (VehicleSec) 2023. [paper link]

[6] Manipulating Elections by Changing Voter Perceptions. Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik. International Joint Conference on Artificial Intelligence (IJCAI) 2022. [paper link]

[7] Incentivizing Truthfulness Through Audits in Strategic Classification. Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik. Conference on Artificial Intelligence (AAAI) 2021. [paper link]

[8] Election Control by Manipulating Issue Significance. Andrew Estornell, Sanmay Das, Edith Elkind, Yevgeniy Vorobeychik. Conference on Uncertainty in Artificial Intelligence (UAI) 2020. [paper link]

[9] Deception Through Half-Truths. Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik. Conference on Artificial Intelligence (AAAI) 2020. [paper link]

[10] PBW Deformations of Quadratic Monomial Algebras. Andrew Estornell, Zachary Cline, Chelsea Walton, Matthew Wynne. Communications in Algebra 2019. [paper link]

Pre-Prints and Under Review

[10] Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach. Andrew Estornell, Stylianos Loukas Vasileiou, William Yeoh, Daniel Borrajo. [TO APPEAR] ICAPS Workshop on Planning for Financial Services (FinPlan) 2023.

[11] Which Features are the Fairest of them All? The Impact of Features Used by Algorithms on Perceptions of Fairness. Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba, Yevgeniy Vorobeychik. 2023

[13] Defending Against Patch Attacks in Vision Recognition Tasks Through Adversarial Semantics Meaning. Jinghan Yang, Andrew Estornell, Yevgeniy Vorobeychik. 2023

[14] Representative Sampling for Datasets, with Applications in Healthcare. Andrew Estornell, Sanmay Das, Chien-Ju Ho, Yevgeniy Vorobeychik. 2023

[15] Individual Impacts of Group Fairness in Machine Learning. Andrew Estornell, Sanmay Das, Patrick Fowler, Brendan Juba, Pauline Kim, Yevgeniy Vorobeychik, 2022.