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Jingfeng Wu
Jingfeng Wu
1
Affiliations
Affiliations
University of California, Berkeley
9
papers
210
total citations
papers (9)
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
ICLR 2024
arXiv
89
citations
The Benefits of Implicit Regularization from SGD in Least Squares Problems
NEURIPS 2021
arXiv
35
citations
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
NEURIPS 2023
arXiv
29
citations
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
NEURIPS 2022
arXiv
24
citations
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
NEURIPS 2021
arXiv
11
citations
Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
NEURIPS 2022
arXiv
8
citations
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
ICML 2025
arXiv
7
citations
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
ICLR 2024
arXiv
5
citations
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance
NEURIPS 2023
arXiv
2
citations