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Adaptive and Robust Multi-Task Learning

Adaptive and Robust Multi-Task Learning

10 February 2022
Yaqi Duan
Kaizheng Wang
ArXivPDFHTML

Papers citing "Adaptive and Robust Multi-Task Learning"

17 / 17 papers shown
Title
Sharp Gaussian approximations for Decentralized Federated Learning
Sharp Gaussian approximations for Decentralized Federated Learning
Soham Bonnerjee
Sayar Karmakar
W. Wu
FedML
14
0
0
12 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
Aoran Chen
Yang Feng
22
0
0
05 May 2025
Representation Retrieval Learning for Heterogeneous Data Integration
Qi Xu
Annie Qu
50
0
0
12 Mar 2025
Multi-Task Dynamic Pricing in Credit Market with Contextual Information
Multi-Task Dynamic Pricing in Credit Market with Contextual Information
Adel Javanmard
Jingwei Ji
Renyuan Xu
31
1
0
18 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on
  Statistical Accuracy and Communication Efficiency
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency
Xin Yu
Zelin He
Ying Sun
Lingzhou Xue
Runze Li
FedML
26
0
0
11 Oct 2024
Learning with Shared Representations: Statistical Rates and Efficient Algorithms
Learning with Shared Representations: Statistical Rates and Efficient Algorithms
Xiaochun Niu
Lili Su
Jiaming Xu
Pengkun Yang
FedML
21
2
0
07 Sep 2024
Smoothness Adaptive Hypothesis Transfer Learning
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin
M. Reimherr
18
6
0
22 Feb 2024
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic
  Analysis of Federated EM Algorithms
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Ye Tian
Haolei Weng
Yang Feng
19
3
0
23 Oct 2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural
  Networks
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Qiying Pan
Ruofan Wu
Tengfei Liu
Tianyi Zhang
Yifei Zhu
Weiqiang Wang
FedML
46
9
0
18 Sep 2023
Multi-Task Learning with Summary Statistics
Multi-Task Learning with Summary Statistics
Parker Knight
Rui Duan
16
10
0
05 Jul 2023
Joint Graph Learning and Model Fitting in Laplacian Regularized
  Stratified Models
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models
Ziheng Cheng
Junzi Zhang
Akshay Agrawal
Stephen P. Boyd
19
0
0
04 May 2023
Adaptive Data Fusion for Multi-task Non-smooth Optimization
Adaptive Data Fusion for Multi-task Non-smooth Optimization
H. Lam
Kaizheng Wang
Yuhang Wu
Yichen Zhang
14
2
0
22 Oct 2022
Personalized Federated Learning with Multiple Known Clusters
Personalized Federated Learning with Multiple Known Clusters
Boxiang Lyu
Filip Hanzely
Mladen Kolar
FedML
23
3
0
28 Apr 2022
A new similarity measure for covariate shift with applications to
  nonparametric regression
A new similarity measure for covariate shift with applications to nonparametric regression
Reese Pathak
Cong Ma
Martin J. Wainwright
59
31
0
06 Feb 2022
New Perspectives on k-Support and Cluster Norms
New Perspectives on k-Support and Cluster Norms
Andrew M. McDonald
Massimiliano Pontil
Dimitris Stamos
50
58
0
06 Mar 2014
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
177
525
0
27 Jun 2012
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
113
377
0
11 Jul 2010
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