Meta-learning of shared linear representations beyond well-specified linear regression | Paper Citation Record

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This paper cites Wainwright.

Meta-learning of shared linear representations beyond well-specified linear regression Wainwright

Reference 1

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Meta-learning of shared linear representations beyond well-specified linear regression Multi-task feature learning

Reference 2

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This paper cites Representation learning: A review and new perspectives.

Meta-learning of shared linear representations beyond well-specified linear regression Representation learning: A review and new perspectives

Reference 3

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This paper cites Interpretable Meta-Learning of Physical Systems.

Meta-learning of shared linear representations beyond well-specified linear regression Interpretable Meta-Learning of Physical Systems

Reference 4

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Meta-learning of shared linear representations beyond well-specified linear regression Unresolved cited work

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Meta-learning of shared linear representations beyond well-specified linear regression Trace norm regularization for multi-task learning with scarce data

Reference 6

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Meta-learning of shared linear representations beyond well-specified linear regression Convex optimization: Algorithms and complexity

Reference 7

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Meta-learning of shared linear representations beyond well-specified linear regression Generalize across tasks: Efficient algorithms for linear representation learning

Reference 8

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Meta-learning of shared linear representations beyond well-specified linear regression Monteiro

Reference 9

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This paper cites Monteiro.

Meta-learning of shared linear representations beyond well-specified linear regression Monteiro

Reference 10

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This paper cites Candès and Yaniv Plan.

Meta-learning of shared linear representations beyond well-specified linear regression Candès and Yaniv Plan

Reference 11

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This paper cites Multi-task learning.

Meta-learning of shared linear representations beyond well-specified linear regression Multi-task learning

Reference 12

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Meta-learning of shared linear representations beyond well-specified linear regression Multitask online mirror descent

Reference 13

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Meta-learning of shared linear representations beyond well-specified linear regression Convex learning of multiple tasks and their structure

Reference 14

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This paper cites Exploiting shared representations for personalized federated learning.

Meta-learning of shared linear representations beyond well-specified linear regression Exploiting shared representations for personalized federated learning

Reference 15

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Meta-learning of shared linear representations beyond well-specified linear regression Fedavg with fine tuning: Local updates lead to representation learning

Reference 16

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Meta-learning of shared linear representations beyond well-specified linear regression MAML and ANIL provably learn representations

Reference 17

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This paper cites Provable multi-task representation learning by two-layer relu neural networks, 2023.

Meta-learning of shared linear representations beyond well-specified linear regression Provable multi-task representation learning by two-layer relu neural networks, 2023

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This paper cites Learning-to-learn stochastic gradient descent with biased regularization.

Meta-learning of shared linear representations beyond well-specified linear regression Learning-to-learn stochastic gradient descent with biased regularization

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Meta-learning of shared linear representations beyond well-specified linear regression Online-within-online meta-learning

Reference 20

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This paper cites Distributed personalized empirical risk minimization, 2023.

Meta-learning of shared linear representations beyond well-specified linear regression Distributed personalized empirical risk minimization, 2023

Reference 21

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This paper cites Collaborative learning by detecting collaboration partners.

Meta-learning of shared linear representations beyond well-specified linear regression Collaborative learning by detecting collaboration partners

Reference 22

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This paper cites Du, Wei Hu, Sham M.

Meta-learning of shared linear representations beyond well-specified linear regression Du, Wei Hu, Sham M

Reference 23

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Meta-learning of shared linear representations beyond well-specified linear regression Efficient projections onto the l1-ball for learning in high dimensions

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This paper cites Subspace recovery from heterogeneous data with non-isotropic noise.

Meta-learning of shared linear representations beyond well-specified linear regression Subspace recovery from heterogeneous data with non-isotropic noise

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Meta-learning of shared linear representations beyond well-specified linear regression Metric entropy of some classes of sets with differentiable boundaries

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Meta-learning of shared linear representations beyond well-specified linear regression Concentration of non-isotropic random tensors with applications to learning and empirical risk minimization

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This paper cites On sample optimality in personalized collaborative and federated learning.

Meta-learning of shared linear representations beyond well-specified linear regression On sample optimality in personalized collaborative and federated learning

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Meta-learning of shared linear representations beyond well-specified linear regression Nonparametric Linear Feature Learning in Regression Through Regularisation

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Meta-learning of shared linear representations beyond well-specified linear regression Iterative hard thresholding for low-rank recovery from rank-one projections, 2018

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Meta-learning of shared linear representations beyond well-specified linear regression An efficient framework for clustered federated learning

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Meta-learning of shared linear representations beyond well-specified linear regression Unresolved cited work

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Meta-learning of shared linear representations beyond well-specified linear regression Lower Bounds and Optimal Algorithms for Personalized Federated Learning

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Meta-learning of shared linear representations beyond well-specified linear regression Hospedales, A

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Meta-learning of shared linear representations beyond well-specified linear regression Clustered multi-task learning: A convex formulation

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Meta-learning of shared linear representations beyond well-specified linear regression Revisiting Frank-Wolfe : Projection-free sparse convex optimization

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Meta-learning of shared linear representations beyond well-specified linear regression Adaptive gradient-based meta-learning methods

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Meta-learning of shared linear representations beyond well-specified linear regression Provable guarantees for gradient-based meta-learning, 2019 b

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Meta-learning of shared linear representations beyond well-specified linear regression Gradient-based meta-learning with learned layerwise metric and subspace

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Meta-learning of shared linear representations beyond well-specified linear regression Hierarchical clustering multi-task learning for joint human action grouping and recognition

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Meta-learning of shared linear representations beyond well-specified linear regression Unresolved cited work

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Meta-learning of shared linear representations beyond well-specified linear regression Taking advantage of sparsity in multi-task learning

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This paper cites Three Approaches for Personalization with Applications to Federated Learning.

Meta-learning of shared linear representations beyond well-specified linear regression Three Approaches for Personalization with Applications to Federated Learning

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Meta-learning of shared linear representations beyond well-specified linear regression Bounds for linear multi-task learning

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Meta-learning of shared linear representations beyond well-specified linear regression The benefit of multitask representation learning

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This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Meta-learning of shared linear representations beyond well-specified linear regression Communication-Efficient Learning of Deep Networks from Decentralized Data

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This paper cites Collaborative learning with shared linear representations: Statistical rates and optimal algorithms, 2024.

Meta-learning of shared linear representations beyond well-specified linear regression Collaborative learning with shared linear representations: Statistical rates and optimal algorithms, 2024

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Meta-learning of shared linear representations beyond well-specified linear regression Excess risk bounds for multitask learning with trace norm regularization

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Meta-learning of shared linear representations beyond well-specified linear regression Tsybakov

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Meta-learning of shared linear representations beyond well-specified linear regression Hanson-Wright inequality and sub-gaussian concentration

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Meta-learning of shared linear representations beyond well-specified linear regression Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints

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Meta-learning of shared linear representations beyond well-specified linear regression Statistically and computationally efficient linear meta-representation learning

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This paper cites Provable meta-learning of linear representations.

Meta-learning of shared linear representations beyond well-specified linear regression Provable meta-learning of linear representations

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This paper cites Wainwright.

Meta-learning of shared linear representations beyond well-specified linear regression Wainwright

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Meta-learning of shared linear representations beyond well-specified linear regression First-order ANIL provably learns representations despite overparametrisation

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Meta-learning of shared linear representations beyond well-specified linear regression Clustered multi-task learning via alternating structure optimization

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