Social trends in the iterated prisoner's dilemma. - Jessica Finocchiaro; H. David Mathias (GECCO (Companion), 2017)

Egocentric Height Estimation. - Jessica Finocchiaro; Aisha Urooj Khan; Ali Borji (WACV, 2017)

Convex Elicitation of Continuous Properties. - Jessica Finocchiaro; Rafael M. Frongillo (NeurIPS, 2018)

Evolving cooperation for the iterated prisoner's dilemma. - Jessica Finocchiaro; H. David Mathias (GECCO (Companion), 2019)

An Embedding Framework for Consistent Polyhedral Surrogates. - Jessica Finocchiaro; Rafael M. Frongillo; Bo Waggoner (NeurIPS, 2019)

Embedding Dimension of Polyhedral Losses. - Jessie Finocchiaro; Rafael M. Frongillo; Bo Waggoner (COLT, 2020)

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness. - Jessie Finocchiaro; Roland Maio; Faidra Monachou; Gourab K. Patro; Manish Raghavan; Ana-Andreea Stoica; Stratis Tsirtsis (FAccT, 2021)

Unifying lower bounds on prediction dimension of convex surrogates. - Jessica Finocchiaro; Rafael M. Frongillo; Bo Waggoner (NeurIPS, 2021)

Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates. - Jessie Finocchiaro; Rafael M. Frongillo; Bo Waggoner (CoRR, 2021)

Evolutionary Optimization of Cooperative Strategies for the Iterated Prisoner's Dilemma. - Jessie Finocchiaro; H. David Mathias (IEEE Trans. Games, 2021)

The Structured Abstain Problem and the Lovász Hinge. - Enrique B. Nueve; Rafael M. Frongillo; Jessica Finocchiaro (COLT, 2022)

Consistent Polyhedral Surrogates for Top-k Classification and Variants. - Anish Thilagar; Rafael M. Frongillo; Jessica Finocchiaro; Emma Goodwill (ICML, 2022)

Online Platforms and the Fair Exposure Problem under Homophily. - Jakob Schoeffer; Alexander Ritchie; Keziah Naggita; Faidra Monachou; Jessica Finocchiaro; Marc Juarez (AAAI, 2023)

Modeling Robustness in Decision-Focused Learning as a Stackelberg Game. - Sonja Johnson-Yu; Kai Wang 040; Jessie Finocchiaro; Aparna Taneja; Milind Tambe (AAMAS, 2023)

Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks. - Sonja Johnson-Yu; Jessie Finocchiaro; Kai Wang 040; Yevgeniy Vorobeychik; Arunesh Sinha; Aparna Taneja; Milind Tambe (GameSec, 2023)

Using Property Elicitation to Understand the Impacts of Fairness Constraints. - Jessie Finocchiaro (CoRR, 2023)

Bridging Research and Practice Through Conversation: Reflecting on Our Experience. - Mayra Russo; Mackenzie Jorgensen; Kristen M. Scott; Wendy Xu; Di H. Nguyen; Jessie Finocchiaro; Matthew Olckers (EAAMO, 2024)

Using Property Elicitation to Understand the Impacts of Fairness Regularizers. - Jessie Finocchiaro (FAccT, 2024)

Participatory Objective Design via Preference Elicitation. - Ali Shirali; Jessie Finocchiaro; Rediet Abebe (FAccT, 2024)

Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification. - Enrique B. Nueve; Dhamma Kimpara; Bo Waggoner; Jessica Finocchiaro (NeurIPS, 2024)

Trading off Consistency and Dimensionality of Convex Surrogates for the Mode. - Enrique B. Nueve; Bo Waggoner; Dhamma Kimpara; Jessie Finocchiaro (CoRR, 2024)

Robustness of voting mechanisms to external information in expectation. - Yiling Chen; Jessie Finocchiaro (CoRR, 2024)

An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates. - Jessie Finocchiaro; Rafael M. Frongillo; Bo Waggoner (J. Mach. Learn. Res., 2024)

Robustness of Voting Mechanisms to External Information. - Yiling Chen; Jessie Finocchiaro (SAGT, 2025)

Analyzing Cost-Sensitive Surrogate Losses via ℋ-calibration. - Sanket Shah; Milind Tambe; Jessie Finocchiaro (CoRR, 2025)

Three Types of Calibration with Properties and their Semantic and Formal Relationships. - Rabanus Derr; Jessie Finocchiaro; Robert C. Williamson (CoRR, 2025)

Structured Prediction with Abstention via the Lovász Hinge. - Jessie Finocchiaro; Rafael M. Frongillo; Enrique B. Nueve (CoRR, 2025)