Search Results for author: Huiyuan Wang

Found 7 papers, 1 papers with code

A Statistical Theory of Regularization-Based Continual Learning

no code implementations10 Jun 2024 Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin

Moreover, the estimation error of the optimal algorithm is derived explicitly, which is of the same order as that of the oracle estimator.

Continual Learning regression +1

Coreset selection can accelerate quantum machine learning models with provable generalization

no code implementations19 Sep 2023 Yiming Huang, Huiyuan Wang, Yuxuan Du, Xiao Yuan

Quantum neural networks (QNNs) and quantum kernels stand as prominent figures in the realm of quantum machine learning, poised to leverage the nascent capabilities of near-term quantum computers to surmount classical machine learning challenges.

Quantum Machine Learning

CARE: Large Precision Matrix Estimation for Compositional Data

no code implementations13 Sep 2023 Shucong Zhang, Huiyuan Wang, Wei Lin

High-dimensional compositional data are prevalent in many applications.

Heterogeneous Federated Learning on a Graph

no code implementations19 Sep 2022 Huiyuan Wang, Xuyang Zhao, Wei Lin

In this work, we consider parameter estimation in federated learning with data distribution and communication heterogeneity, as well as limited computational capacity of local devices.

Federated Learning

Nonasymptotic theory for two-layer neural networks: Beyond the bias-variance trade-off

no code implementations9 Jun 2021 Huiyuan Wang, Wei Lin

Large neural networks have proved remarkably effective in modern deep learning practice, even in the overparametrized regime where the number of active parameters is large relative to the sample size.

Vocal Bursts Valence Prediction

Relating the structure of dark matter halos to their assembly and environment

2 code implementations11 Mar 2020 Yangyao Chen, H. J. Mo, Cheng Li, Huiyuan Wang, Xiaohu Yang, Youcai Zhang, Kai Wang

Using decision trees built with the random ensemble method, we find that the correlation between halo concentration and assembly history is tight: more than 60% of the variance in halo concentration can be explained by assembly history alone.

Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics

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