activity
20192025
most citedRethinking Bias-Variance Trade-off for Generalization of Neural Networks

80 citations · 101 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

GAUSS: Benchmarking Structured Mathematical Skills for Large Language Models

Yue Zhang, Jiaxin Zhang, Qiuyu Ren +5

We introduce \textbf{GAUSS} (\textbf{G}eneral \textbf{A}ssessment of \textbf{U}nderlying \textbf{S}tructured \textbf{S}kills in Mathematics), a benchmark that evaluates LLMs' mathe…

cs.LG2023★ 3 cited

ResMem: Learn what you can and memorize the rest

Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan +5

The impressive generalization performance of modern neural networks is attributed in part to their ability to implicitly memorize complex training patterns. Inspired by this, we ex…

cs.LG2022★ 4 cited

Predicting Out-of-Distribution Error with the Projection Norm

Yaodong Yu, Zitong Yang, Alexander Wei +2

We propose a metric -- Projection Norm -- to predict a model's performance on out-of-distribution (OOD) data without access to ground truth labels. Projection Norm first uses model…

cs.LG2021★ 4 cited

Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models

Zitong Yang, Yu Bai, Song Mei

Recent work showed that there could be a large gap between the classical uniform convergence bound and the actual test error of zero-training-error predictors (interpolators) such…

cs.LG2021★ 10 cited

Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition

Yaodong Yu, Zitong Yang, Edgar Dobriban +2

Adversarially trained models exhibit a large generalization gap: they can interpolate the training set even for large perturbation radii, but at the cost of large test error on cle…

cs.LG2020★ 80 cited

Rethinking Bias-Variance Trade-off for Generalization of Neural Networks

Zitong Yang, Yaodong Yu, Chong You +2

The classical bias-variance trade-off predicts that bias decreases and variance increase with model complexity, leading to a U-shaped risk curve. Recent work calls this into questi…

cs.DB2019

Service Wrapper: a system for converting web data into web services

Naibo Wang, Zhiling Luo, Xiya Lyu +2

Web services are widely used in many areas via callable APIs, however, data are not always available in this way. We always need to get some data from web pages whose structure is…