Bridging machine learning and mechanism design towards algorithmic fairness J Finocchiaro, R Maio, F Monachou, GK Patro, M Raghavan, AA Stoica, ... Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 64 | 2021 |
An embedding framework for consistent polyhedral surrogates J Finocchiaro, R Frongillo, B Waggoner Advances in neural information processing systems 32, 2019 | 31 | 2019 |
Embedding dimension of polyhedral losses J Finocchiaro, R Frongillo, B Waggoner Conference on Learning Theory, 1558-1585, 2020 | 12 | 2020 |
Consistent polyhedral surrogates for top-k classification and variants A Thilagar, R Frongillo, JJ Finocchiaro, E Goodwill International Conference on Machine Learning, 21329-21359, 2022 | 8 | 2022 |
Unifying lower bounds on prediction dimension of convex surrogates J Finocchiaro, R Frongillo, B Waggoner Advances in Neural Information Processing Systems 34, 22046-22057, 2021 | 8 | 2021 |
Egocentric height estimation J Finocchiaro, AU Khan, A Borji 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 1142-1150, 2017 | 8 | 2017 |
An embedding framework for the design and analysis of consistent polyhedral surrogates J Finocchiaro, RM Frongillo, B Waggoner Journal of Machine Learning Research 25 (63), 1-60, 2024 | 6 | 2024 |
Convex elicitation of continuous properties J Finocchiaro, R Frongillo Advances in Neural Information Processing Systems 31, 2018 | 6 | 2018 |
Online platforms and the fair exposure problem under Homophily J Schoeffer, A Ritchie, K Naggita, F Monachou, J Finocchiaro, M Juarez Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11899 …, 2023 | 4 | 2023 |
Evolutionary Optimization of Cooperative Strategies for the Iterated Prisoner's Dilemma J Finocchiaro, HD Mathias IEEE Transactions on Games 13 (2), 170-179, 2020 | 4 | 2020 |
Consistent Polyhedral Surrogates for Top- Classification and Variants J Finocchiaro, R Frongillo, E Goodwill, A Thilagar arXiv preprint arXiv:2207.08873, 2022 | 3 | 2022 |
Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks S Johnson-Yu, J Finocchiaro, K Wang, Y Vorobeychik, A Sinha, A Taneja, ... International Conference on Decision and Game Theory for Security, 133-152, 2023 | 2 | 2023 |
Modeling Robustness in Decision-Focused Learning as a Stackelberg Game S Johnson-Yu, K Wang, J Finocchiaro, A Taneja, M Tambe Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 2 | 2023 |
The structured abstain problem and the lovász hinge JJ Finocchiaro, R Frongillo, EB Nueve Conference on Learning Theory, 3718-3740, 2022 | 2 | 2022 |
A Decomposition of a Complete Graph with a Hole R Back, AB Castano, R Galindo, J Finocchiaro Open Journal of Discrete Mathematics 11 (1), 1-12, 2020 | 1 | 2020 |
Participatory Objective Design via Preference Elicitation A Shirali, J Finocchiaro, R Abebe The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1637-1662, 2024 | | 2024 |
Using Property Elicitation to Understand the Impacts of Fairness Regularizers J Finocchiaro The 2024 ACM Conference on Fairness, Accountability, and Transparency, 62-73, 2024 | | 2024 |
Robustness of voting mechanisms to external information in expectation Y Chen, J Finocchiaro arXiv preprint arXiv:2404.07818, 2024 | | 2024 |
Trading off Consistency and Dimensionality of Convex Surrogates for the Mode E Nueve, B Waggoner, D Kimpara, J Finocchiaro arXiv preprint arXiv:2402.10818, 2024 | | 2024 |
Designing Consistent and Convex Surrogates for General Prediction Tasks J Finocchiaro University of Colorado at Boulder, 2022 | | 2022 |