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Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers

Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers

22 October 2020
Fan Yang
Hongyang R. Zhang
Sen Wu
Christopher Ré
Weijie J. Su
ArXivPDFHTML

Papers citing "Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers"

12 / 12 papers shown
Title
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
Simone Bombari
Marco Mondelli
113
0
0
03 Feb 2025
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
M. E. Ildiz
Halil Alperen Gozeten
Ege Onur Taga
Marco Mondelli
Samet Oymak
54
2
0
24 Oct 2024
Scalable Fine-tuning from Multiple Data Sources:A First-Order
  Approximation Approach
Scalable Fine-tuning from Multiple Data Sources:A First-Order Approximation Approach
Dongyue Li
Ziniu Zhang
Lu Wang
Hongyang R. Zhang
38
0
0
28 Sep 2024
Scalable Multitask Learning Using Gradient-based Estimation of Task
  Affinity
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
Dongyue Li
Aneesh Sharma
Hongyang R. Zhang
67
1
0
09 Sep 2024
Analysing Multi-Task Regression via Random Matrix Theory with
  Application to Time Series Forecasting
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
Romain Ilbert
Malik Tiomoko
Cosme Louart
Ambroise Odonnat
Vasilii Feofanov
Themis Palpanas
I. Redko
AI4TS
63
1
0
14 Jun 2024
Collaborative Learning with Different Labeling Functions
Collaborative Learning with Different Labeling Functions
Yuyang Deng
Mingda Qiao
29
0
0
16 Feb 2024
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations
  for Accident Analysis
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
Abhinav Nippani
Dongyue Li
Haotian Ju
Haris N. Koutsopoulos
Hongyang R. Zhang
GNN
44
6
0
31 Oct 2023
Boosting Multitask Learning on Graphs through Higher-Order Task
  Affinities
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
Dongyue Li
Haotian Ju
Aneesh Sharma
Hongyang R. Zhang
52
8
0
24 Jun 2023
Robust Fine-Tuning of Deep Neural Networks with Hessian-based
  Generalization Guarantees
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
Haotian Ju
Dongyue Li
Hongyang R. Zhang
32
28
0
06 Jun 2022
Adaptive and Robust Multi-Task Learning
Adaptive and Robust Multi-Task Learning
Yaqi Duan
Kaizheng Wang
70
23
0
10 Feb 2022
Improved Regularization and Robustness for Fine-tuning in Neural
  Networks
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li
Hongyang R. Zhang
NoLa
44
54
0
08 Nov 2021
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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