Exploring Outcome Indistinguishability
Exploring Outcome Indistinguishability reveals several interesting facts.
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- Computer Science/Discrete Mathematics Seminar I Topic: Multi-group learning via
- Recorded 26 February 2024. Omer Reingold of Stanford University presents "Learn Now, Optimize Later: Algorithmic Fairness, ...
- Authors: Parikshit Gopalan (Apple); Lunjia Hu (Stanford University); Michael P. Kim (UC Berkeley); Omer Reingold (Stanford ...
- The probability of large number of
In-Depth Information on Outcome Indistinguishability
Foundations of Responsible Computing (FORC 2021) Title: Foundations of Responsible Computing (FORC 2021) Title: Michael Kim (UC Berkeley) https://simons.berkeley.edu/talks/michael-kim-uc-berkeley-2023-04-24 Multigroup Fairness and the ... Michael Kim (UC Berkeley) https://simons.berkeley.edu/talks/michael-kim-uc-berkeley-2023-04-24-0 Multigroup Fairness and the ...
Delivered on Thursday, December 30th, 2021, 10:00 AM Speaker Paper Amitay Sicherman How benign is benign overfitting?
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