Ira Globus-Harris

20 papers A* 2C 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Collaborative Prediction: Tractable Information Aggregation via Agreement.
SODA
Natalie Collina, Ira Globus-Harris, Surbhi Goel, Varun Gupta, Aaron Roth, Mirah Shi
2025 J jnl
Collaborative Prediction: Tractable Information Aggregation via Agreement.
CoRR
Natalie Collina, Ira Globus-Harris, Surbhi Goel, Varun Gupta, Aaron Roth, Mirah Shi
2025 — conf
Model Ensembling for Constrained Optimization.
FORC
Ira Globus-Harris, Varun Gupta, Michael Kearns, Aaron Roth
2024 — conf
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning.
FAccT
Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth
2024 J jnl
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning.
CoRR
Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth
2024 J jnl
Model Ensembling for Constrained Optimization.
CoRR
Ira Globus-Harris, Varun Gupta, Michael Kearns, Aaron Roth
2023 C conf
Multicalibrated Regression for Downstream Fairness.
AIES
Ira Globus-Harris, Varun Gupta, Christopher Jung, Michael Kearns, Jamie Morgenstern, Aaron Roth
2023 A* conf
Multicalibration as Boosting for Regression.
ICML
Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell
2023 J jnl
Multicalibration as Boosting for Regression.
CoRR
Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell
2022 — conf
An Algorithmic Framework for Bias Bounties.
FAccT
Ira Globus-Harris, Michael Kearns, Aaron Roth
2022 J jnl
Beyond the Frontier: Fairness Without Accuracy Loss.
CoRR
Ira Globus-Harris, Michael Kearns, Aaron Roth
2022 J jnl
Multicalibrated Regression for Downstream Fairness.
CoRR
Ira Globus-Harris, Varun Gupta, Christopher Jung, Michael Kearns, Jamie Morgenstern, Aaron Roth
2021 — conf
Lexicographically Fair Learning: Algorithms and Generalization.
FORC
Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
2021 J jnl
Lexicographically Fair Learning: Algorithms and Generalization.
CoRR
Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi
2021 J jnl
Non-parametric Differentially Private Confidence Intervals for the Median.
CoRR
Jörg Drechsler, Ira Globus-Harris, Audra McMillan, Jayshree Sarathy, Adam D. Smith
2019 — conf
From Usability to Secure Computing and Back Again.
SOUPS @ USENIX Security Symposium
Lucy Qin, Andrei Lapets, Frederick Jansen, Peter Flockhart, Kinan Dak Albab, Ira Globus-Harris, Shannon Roberts, Mayank Varia
2019 J jnl
From Usability to Secure Computing and Back Again.
IACR Cryptol. ePrint Arch.
Lucy Qin, Andrei Lapets, Frederick Jansen, Peter Flockhart, Kinan Dak Albab, Ira Globus-Harris, Shannon Roberts, Mayank Varia
2019 J jnl
Improved Differentially Private Analysis of Variance.
CoRR
Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray
2019 J jnl
Improved Differentially Private Analysis of Variance.
Proc. Priv. Enhancing Technol.
Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray
2019 — conf
Tutorial: Deploying Secure Multi-Party Computation on the Web Using JIFF.
SecDev
Kinan Dak Albab, Rawane Issa, Andrei Lapets, Peter Flockhart, Lucy Qin, Ira Globus-Harris