Ira Globus-Harris

20 papers A* 2C 1Journal 11Unranked 6

Year	Rank	Type	Title / 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