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Representation Learning Beyond Linear Prediction Functions

Representation Learning Beyond Linear Prediction Functions

31 May 2021
Ziping Xu
Ambuj Tewari
ArXiv (abs)PDFHTML

Papers citing "Representation Learning Beyond Linear Prediction Functions"

17 / 17 papers shown
Title
Guarantees for Nonlinear Representation Learning: Non-identical
  Covariates, Dependent Data, Fewer Samples
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Thomas T. Zhang
Bruce D. Lee
Ingvar M. Ziemann
George J. Pappas
Nikolai Matni
CMLOOD
145
0
0
15 Oct 2024
On the Generalization Ability of Unsupervised Pretraining
On the Generalization Ability of Unsupervised Pretraining
Yuyang Deng
Junyuan Hong
Jiayu Zhou
M. Mahdavi
SSL
94
5
0
11 Mar 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement
  Learning with Diverse Tasks
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu
Zifan Xu
Runxuan Jiang
Peter Stone
Ambuj Tewari
83
1
0
03 Mar 2024
Smoothness Adaptive Hypothesis Transfer Learning
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin
M. Reimherr
73
8
0
22 Feb 2024
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural
  Networks
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
Liam Collins
Hamed Hassani
Mahdi Soltanolkotabi
Aryan Mokhtari
Sanjay Shakkottai
133
11
0
13 Jul 2023
Active Representation Learning for General Task Space with Applications
  in Robotics
Active Representation Learning for General Task Space with Applications in Robotics
Yifang Chen
Ying Huang
S. Du
Kevin Jamieson
Guanya Shi
SSL
73
3
0
15 Jun 2023
Improved Active Multi-Task Representation Learning via Lasso
Improved Active Multi-Task Representation Learning via Lasso
Yiping Wang
Yifang Chen
Kevin Jamieson
S. Du
92
11
0
05 Jun 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
98
4
0
13 May 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Yingcong Li
Samet Oymak
MoE
71
4
0
08 Mar 2023
On Hypothesis Transfer Learning of Functional Linear Models
On Hypothesis Transfer Learning of Functional Linear Models
Haotian Lin
M. Reimherr
71
5
0
09 Jun 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
83
81
0
27 May 2022
Provable and Efficient Continual Representation Learning
Provable and Efficient Continual Representation Learning
Yingcong Li
Mingchen Li
M. Salman Asif
Samet Oymak
CLL
59
13
0
03 Mar 2022
Active Multi-Task Representation Learning
Active Multi-Task Representation Learning
Yifang Chen
S. Du
Kevin Jamieson
85
13
0
02 Feb 2022
On the Statistical Benefits of Curriculum Learning
On the Statistical Benefits of Curriculum Learning
Ziping Xu
Ambuj Tewari
56
9
0
13 Nov 2021
Calibrated Multiple-Output Quantile Regression with Representation
  Learning
Calibrated Multiple-Output Quantile Regression with Representation Learning
Shai Feldman
Stephen Bates
Yaniv Romano
210
36
0
02 Oct 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on
  Tasks
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
79
8
0
06 Jul 2021
Understanding the Eluder Dimension
Understanding the Eluder Dimension
Gen Li
Pritish Kamath
Dylan J. Foster
Nathan Srebro
100
13
0
14 Apr 2021
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