Optimistic Rates for Learning from Label Proportions

Optimistic Rates for Learning from Label Proportions

1 June 2024

Vahab Mirrokni

Papers citing "Optimistic Rates for Learning from Label Proportions"

5 / 5 papers shown

Title
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses Adel Javanmard Matthew Fahrbach Vahab Mirrokni 16 2 0 07 Feb 2024
Learning from Aggregated Data: Curated Bags versus Random Bags Lin Chen Gang Fu Amin Karbasi Vahab Mirrokni FedML 35 8 0 16 May 2023
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models Lijia Zhou Frederic Koehler Pragya Sur Danica J. Sutherland Nathan Srebro 67 9 0 21 Oct 2022
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge Eustache Diemert Romain Fabre Alexandre Gilotte Fei Jia Basile Leparmentier Jérémie Mary Zhonghua Qu Ugo Tanielian Hui Yang 32 6 0 31 Jan 2022
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression Lijia Zhou Frederic Koehler Danica J. Sutherland Nathan Srebro 68 19 0 08 Dec 2021