Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2304.01395
Cited By
v1
v2 (latest)
Learning Personalized Models with Clustered System Identification
3 April 2023
Leonardo F. Toso
Hang Wang
James Anderson
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Personalized Models with Clustered System Identification"
18 / 18 papers shown
Title
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Donglin Zhan
Leonardo F. Toso
James Anderson
211
3
0
04 Feb 2025
Learning Dynamical Systems by Leveraging Data from Similar Systems
Lei Xin
Lintao Ye
G. Chiu
S. Sundaram
97
10
0
20 Jan 2025
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data
Thomas T. Zhang
Leonardo F. Toso
James Anderson
Nikolai Matni
133
13
0
08 Aug 2023
Multi-Task Imitation Learning for Linear Dynamical Systems
Thomas T. Zhang
Katie Kang
Bruce D. Lee
Claire Tomlin
Sergey Levine
Stephen Tu
Nikolai Matni
113
24
0
01 Dec 2022
FedSysID: A Federated Approach to Sample-Efficient System Identification
Han Wang
Leonardo F. Toso
James Anderson
FedML
53
18
0
25 Nov 2022
An Improved Algorithm for Clustered Federated Learning
Harsh Vardhan
A. Ghosh
A. Mazumdar
FedML
53
8
0
20 Oct 2022
Identifying the Dynamics of a System by Leveraging Data from Similar Systems
Lei Xin
Lintao Ye
G. Chiu
S. Sundaram
67
25
0
11 Apr 2022
Exploiting Shared Representations for Personalized Federated Learning
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
OOD
105
729
0
14 Feb 2021
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh
Jichan Chung
Dong Yin
Kannan Ramchandran
FedML
89
870
0
07 Jun 2020
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
167
1,011
0
04 Oct 2019
Learning Linear Dynamical Systems with Semi-Parametric Least Squares
Max Simchowitz
Ross Boczar
Benjamin Recht
67
116
0
02 Feb 2019
Non-asymptotic Identification of LTI Systems from a Single Trajectory
Samet Oymak
N. Ozay
69
226
0
14 Jun 2018
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
Max Simchowitz
Horia Mania
Stephen Tu
Michael I. Jordan
Benjamin Recht
76
342
0
22 Feb 2018
On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean
Horia Mania
Nikolai Matni
Benjamin Recht
Stephen Tu
81
580
0
04 Oct 2017
Non-Asymptotic Analysis of Robust Control from Coarse-Grained Identification
Stephen Tu
Ross Boczar
A. Packard
Benjamin Recht
87
70
0
15 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
841
11,961
0
09 Mar 2017
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan
Martin J. Wainwright
Bin Yu
323
482
0
09 Aug 2014
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
296
12,467
0
24 Jun 2012
1