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"

6 / 6 papers shown

Title
Nearly Optimal Sample Complexity for Learning with Label Proportions R. Busa-Fekete Travis Dick Claudio Gentile Haim Kaplan Tomer Koren Uri Stemmer 48 0 0 08 May 2025
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses Adel Javanmard Matthew Fahrbach Vahab Mirrokni 26 3 0 07 Feb 2024
Learning from Aggregated Data: Curated Bags versus Random Bags Lin Chen Gang Fu Amin Karbasi Vahab Mirrokni FedML 58 10 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 83 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 53 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 95 24 0 08 Dec 2021