Ira Globus-Harris

According to our database, Ira Globus-Harris authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Collaborative Prediction: Tractable Information Aggregation via Agreement.

Natalie Collina, Ira Globus-Harris, Surbhi Goel, Varun Gupta, Aaron Roth, Mirah Shi

Proceedings of the 2026 Annual ACM-SIAM Symposium on Discrete Algorithms, 2026

2025

Model Ensembling for Constrained Optimization.

Ira Globus-Harris, Varun Gupta, Michael Kearns, Aaron Roth

Proceedings of the 6th Symposium on Foundations of Responsible Computing, 2025

2024

Diversified Ensembling: An Experiment in Crowdsourced Machine Learning.

Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Multicalibration as Boosting for Regression.

Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell

Proceedings of the International Conference on Machine Learning, 2023

Multicalibrated Regression for Downstream Fairness.

Ira Globus-Harris, Varun Gupta, Christopher Jung, Michael Kearns, Jamie Morgenstern, Aaron Roth

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Beyond the Frontier: Fairness Without Accuracy Loss.

Ira Globus-Harris, Michael Kearns, Aaron Roth

CoRR, 2022

An Algorithmic Framework for Bias Bounties.

Ira Globus-Harris, Michael Kearns, Aaron Roth

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Non-parametric Differentially Private Confidence Intervals for the Median.

Jörg Drechsler, Ira Globus-Harris, Audra McMillan, Jayshree Sarathy, Adam D. Smith

CoRR, 2021

Lexicographically Fair Learning: Algorithms and Generalization.

Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi

Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

2019

Improved Differentially Private Analysis of Variance.

Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray

Proc. Priv. Enhancing Technol., 2019

From Usability to Secure Computing and Back Again.

Lucy Qin, Andrei Lapets, Frederick Jansen, Peter Flockhart, Kinan Dak Albab, Ira Globus-Harris, Shannon Roberts, Mayank Varia

Proceedings of the Fifteenth Symposium on Usable Privacy and Security, 2019

Tutorial: Deploying Secure Multi-Party Computation on the Web Using JIFF.

Kinan Dak Albab, Rawane Issa, Andrei Lapets, Peter Flockhart, Lucy Qin, Ira Globus-Harris

Proceedings of the 2019 IEEE Cybersecurity Development, 2019