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Trace norm regularization for multi-task learning with scarce data
Annual Conference Computational Learning Theory (COLT), 2022
14 February 2022
Etienne Boursier
Mikhail Konobeev
Nicolas Flammarion
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Papers citing
"Trace norm regularization for multi-task learning with scarce data"
8 / 8 papers shown
Title
Meta-learning of shared linear representations beyond well-specified linear regression
Mathieu Even
Laurent Massoulié
258
0
0
31 Jan 2025
Long-Context Linear System Identification
International Conference on Learning Representations (ICLR), 2024
Oğuz Kaan Yüksel
Mathieu Even
Nicolas Flammarion
173
1
0
08 Oct 2024
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
Luigi Capogrosso
Enrico Fraccaroli
Samarjit Chakraborty
Franco Fummi
Marco Cristani
MoE
123
8
0
08 Jul 2024
Proximal Interacting Particle Langevin Algorithms
Paula Cordero Encinar
F. R. Crucinio
O. Deniz Akyildiz
228
8
0
20 Jun 2024
First-order ANIL learns linear representations despite misspecified latent dimension
Oğuz Kaan Yüksel
Etienne Boursier
Nicolas Flammarion
162
1
0
02 Mar 2023
AdaTask: Adaptive Multitask Online Learning
Pierre Laforgue
Andrea Della Vecchia
Nicolò Cesa-Bianchi
Lorenzo Rosasco
124
2
0
31 May 2022
Meta Representation Learning with Contextual Linear Bandits
Leonardo Cella
Karim Lounici
Massimiliano Pontil
174
6
0
30 May 2022
Multitask Online Mirror Descent
Nicolò Cesa-Bianchi
Pierre Laforgue
Andrea Paudice
Massimiliano Pontil
LRM
146
6
0
04 Jun 2021
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