1. An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates
    Jessie Finocchiaro, Rafael M Frongillo , and Bo Waggoner
    Journal of Machine Learning Research, 2024
  2. Using Property Elicitation to Understand the Impacts of Fairness Constraints
    Jessie Finocchiaro
  3. Trading off Consistency and Dimensionality of Convex Surrogates for the Mode
    Enrique Nueve , Dhamma Kimpara , Bo Waggoner , and 1 more author
  4. Participatory Objective Design via Preference Elicitation
    Ali Shirali , Jessie Finocchiaro, and Rediet Abebe
  5. Robustness of voting mechanisms to external information in expectation
    Yiling Chen , and Jessie Finocchiaro


  1. Online platforms and the fair exposure problem under homophily
    Jakob Schoeffer , Alexander Ritchie , Keziah Naggita , and 3 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2023
  2. Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks
    Sonja Johnson-Yu , Jessie Finocchiaro, Kai Wang , and 4 more authors
    In International Conference on Decision and Game Theory for Security , 2023


  1. Consistent polyhedral surrogates for top-k classification and variants
    Jessie Finocchiaro, Rafael Frongillo , Emma Goodwill , and 1 more author
    In International Conference on Machine Learning , 2022
  2. The structured abstain problem and the lovász hinge
    Jessie Finocchiaro, Rafael M. Frongillo , and Enrique Nueve
    In Conference on Learning Theory , 2022
  3. Designing Consistent and Convex Surrogates for General Prediction Tasks
    Jessie Finocchiaro
    University of Colorado at Boulder , 2022


  1. Bridging machine learning and mechanism design towards algorithmic fairness
    Jessie Finocchiaro, Roland Maio , Faidra Monachou , and 4 more authors
    In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , 2021
  2. Unifying lower bounds on prediction dimension of convex surrogates
    Jessie Finocchiaro, Rafael M. Frongillo , and Bo Waggoner
    Advances in Neural Information Processing Systems, 2021


  1. Embedding dimension of polyhedral losses
    Jessie Finocchiaro, Rafael M. Frongillo , and Bo Waggoner
    In Conference on Learning Theory , 2020
  2. A Decomposition of a Complete Graph with a Hole
    Roxanne Back , Alejandra Brewer Castano , Rachel Galindo , and 1 more author
    Open Journal of Discrete Mathematics, 2020
  3. Evolutionary Optimization of Cooperative Strategies for the Iterated Prisoner’s Dilemma
    Jessie Finocchiaro, and H David Mathias
    IEEE Transactions on Games, 2020


  1. An embedding framework for consistent polyhedral surrogates
    Jessie Finocchiaro, Rafael Frongillo , and Bo Waggoner
    Advances in neural information processing systems, 2019
  2. Evolving cooperation for the iterated prisoner’s dilemma
    Jessie Finocchiaro, and H. David Mathias
    In Proceedings of the Genetic and Evolutionary Computation Conference Companion , 2019


  1. Convex elicitation of continuous properties
    Jessie Finocchiaro, and Rafael M. Frongillo
    Advances in Neural Information Processing Systems, 2018


  1. Egocentric height estimation
    Jessie Finocchiaro, Aisha Urooj Khan , and Ali Borji
    In 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) , 2017