Learning with Shared Representations: Statistical Rates and Efficient Algorithms

7 September 2024

Papers citing "Learning with Shared Representations: Statistical Rates and Efficient Algorithms"

10 / 10 papers shown

Title
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 88 0 0 31 Jan 2025
Nonlinear Meta-Learning Can Guarantee Faster Rates Dimitri Meunier Zhu Li Arthur Gretton Samory Kpotufe 86 7 0 20 Jul 2023
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 97 27 0 10 Feb 2022
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 202 364 0 13 Oct 2021
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach Sai Li Tianxi Cai R. Duan 59 49 0 27 Aug 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 78 170 0 15 Dec 2020
Robust Federated Learning in a Heterogeneous Environment Avishek Ghosh Justin Hong Dong Yin Kannan Ramchandran OOD FedML 47 216 0 16 Jun 2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy T. Tony Cai Yichen Wang Linjun Zhang 61 168 0 12 Feb 2019
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 199 1,068 0 06 Dec 2018
The Benefit of Multitask Representation Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes SSL 84 375 0 23 May 2015