ZS
Zuofeng Shang
math.STstat.THstat.MEstat.MLcs.LGstat.APAlgorithmsastro-ph.SRcs.AIcs.IT
On Valency
published · living versionsW_fmpb6t8k·v1 · currentpublished
Nonparametric In-Context Learning and Inference via Measure-Indexed Kernel Ridge Regression
with Tianyang Hu, Fan Yang, Yingcong Li
1 version
W_x5pmanmc·v1published
Preprints & journals
53 papers in the corpus · 2011–2026Nonparametric In-Context Learning and Inference via Measure-Indexed Kernel Ridge Regression2610.28056v1 · Zuofeng Shang, Tianyang Hu, Fan Yang et al.2026 · 0 citationsarXivon Valency
A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-Wide Facial Shape Association2607.22437v1 · Shaofei Zhao, Zuofeng Shang, Seth M. Weinberg et al.2026 · 0 citationsarXiv
Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping2605.04308v1 · Kaustubh Pethkar, Ziyang Xiong, Zuofeng Shang et al.2026 · 0 citationsarXiv
Bootstrap Nonparametric Inference under Data Integration2501.01610v1 · Zuofeng Shang, Peijun Sang, Chong Jin2025 · 0 citationsarXiv
Variational Nonparametric Inference in Functional Stochastic Block Model2407.00564v1 · Zuofeng Shang, Peijun Sang, Yang Feng et al.2024 · 0 citationsarXiv
Scalable Statistical Inference in Non-parametric Least Squares2310.00881v1 · Meimei Liu, Zuofeng Shang, Yun Yang2023 · 0 citationsarXiv
Empirical likelihood test for community structure in networks2307.13890v1 · Mingao Yuan, Sharmin Hossain, Zuofeng Shang2023 · 0 citationsarXiv
Matrix Autoregressive Model with Vector Time Series Covariates for Spatio-Temporal Data2305.15671v4 · Hu Sun, Zuofeng Shang, Yang Chen2023 · 1 citationarXiv
Minimax optimal high-dimensional classification using deep neural networks2303.02470v1 · Shuoyang Wang, Zuofeng Shang2023 · 2 citationsStat. 11(2022)
Statistical Inference with Stochastic Gradient Methods under -mixing Data2302.12717v3 · Ruiqi Liu, Xi Chen, Zuofeng Shang2023 · 1 citationarXiv
Scalable inference in functional linear regression with streaming data2302.02457v2 · Jinhan Xie, Enze Shi, Peijun Sang et al.2023 · 3 citationsarXiv
Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine Learning Methods2209.13779v3 · Hewei Zhang, Qin Li, Yanxing Yang et al.2022 · 23 citationsThe Astrophysical Journal Supplement Series (2022), Volume 263, Number 2
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary2207.01602v1 · Tianyang Hu, Ruiqi Liu, Zuofeng Shang et al.2022 · 1 citationarXiv
Nonparametric Testing Under Randomized Sketching.33656986 · Liu, Meimei, Shang, Zuofeng, Yang, Yun et al.2022 · 2 citationsIEEE transactions on pattern analysis and machine intelligence. 2022;44(8):4280-4290
Deep Neural Network Classifier for Multi-dimensional Functional Data2205.08592v1 · Shuoyang Wang, Guanqun Cao, Zuofeng Shang2022 · 17 citationsarXiv
Information-theoretic Limits for Testing Community Structures in Weighted Networks2204.09097v1 · Mingao Yuan, Zuofeng Shang2022 · 1 citationarXiv
Statistical Inference for Functional Linear Quantile Regression2202.11747v1 · Peijun Sang, Zuofeng Shang, Pang Du2022 · 2 citationsarXiv
Statistical Limits for Testing Correlation of Hypergraphs2202.05888v1 · Mingao Yuan, Zuofeng Shang2022 · 1 citationarXiv
An Approach of Bayesian Variable Selection for Ultrahigh Dimensional Multivariate Regression2111.07878v1 · Xiaotian Dai, Guifang Fu, Randall Reese et al.2021 · 5 citationsarXiv
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks2106.03591v2 · Kexuan Li, Fangfang Wang, Ruiqi Liu et al.2021 · 5 citationsarXiv
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints2105.10315v2 · Ruiqi Liu, Mingao Yuan, Zuofeng Shang2021 · 6 citationsarXiv
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory2105.09788v2 · Ruiqi Liu, Ganggang Xu, Zuofeng Shang2021 · 1 citationarXiv
Information Limits for Detecting a Subhypergraph2105.02259v1 · Mingao Yuan, Zuofeng Shang2021 · 7 citationsarXiv
Heterogeneous Dense Subhypergraph Detection2104.04047v1 · Mingao Yuan, Zuofeng Shang2021 · 3 citationsarXiv
Optimal Classification for Functional Data2103.00569v2 · Shuoyang Wang, Zuofeng Shang, Guanqun Cao et al.2021 · 9 citationsarXiv
Sharp detection boundaries on testing dense subhypergraph2101.04584v1 · Mingao Yuan, Zuofeng Shang2021 · 13 citationsarXiv
Estimation of the Mean Function of Functional Data via Deep Neural Networks2012.04573v1 · Shuoyang Wang, Guanqun Cao, Zuofeng Shang2020 · 22 citationsarXiv
A Computationally Efficient Classification Algorithm in Posterior Drift Model: Phase Transition and Minimax Adaptivity2011.04147v1 · Ruiqi Liu, Kexuan Li, Zuofeng Shang2020 · 2 citationsarXiv
On Deep Instrumental Variables Estimate2004.14954v1 · Ruiqi Liu, Zuofeng Shang, Guang Cheng2020 · 9 citationsarXiv
Sharp Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting2001.06892v2 · Tianyang Hu, Zuofeng Shang, Guang Cheng2020 · 4 citationsarXiv
Statistical Inference on Partially Linear Panel Model under Unobserved Linearity1911.08830v1 · Ruiqi Liu, Ben Boukai, Zuofeng Shang2019 · 0 citationsarXiv
Minimax Nonparametric Two-sample Test under Smoothing1911.02171v4 · Xin Xing, Zuofeng Shang, Pang Du et al.2019 · 0 citationsarXiv
Optimal Nonparametric Inference via Deep Neural Network1902.01687v2 · Ruiqi Liu, Ben Boukai, Zuofeng Shang2019 · 15 citationsarXiv
Nonparametric Inference under B-bits Quantization1901.08571v3 · Kexuan Li, Ruiqi Liu, Ganggang Xu et al.2019 · 0 citationsarXiv
Testing Community Structures for Hypergraphs1810.04617v3 · Mingao Yuan, Ruiqi Liu, Yang Feng et al.2018 · 8 citationsarXiv
A likelihood-ratio type test for stochastic block models with bounded degrees1807.04426v2 · Mingao Yuan, Yang Feng, Zuofeng Shang2018 · 12 citationsarXiv
How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression?1805.09948v3 · Meimei Liu, Zuofeng Shang, Guang Cheng2018 · 4 citationsarXiv
Nonparametric Testing under Random Projection1802.06308v1 · Meimei Liu, Zuofeng Shang, Guang Cheng2018 · 7 citationsarXiv
Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method1703.03031v1 · Shunan Zhao, Ruiqi Liu, Zuofeng Shang2017 · 9 citationsarXiv
Non-asymptotic theory for nonparametric testing1702.01330v1 · Yun Yang, Zuofeng Shang, Guang Cheng2017 · 8 citationsarXiv
Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and its Asymptotic Optimality1612.05907v2 · Ganggang Xu, Zuofeng Shang, Guang Cheng2016 · 22 citationsarXiv
A maximum smoothed likelihood based estimation for two component semiparametric density mixtures with a known component1611.06575v2 · Zhou Shen, Michael Levine, Zuofeng Shang2016 · 0 citationsarXiv
Computational Limits of A Distributed Algorithm For Smoothing Spline1512.09226v2 · Zuofeng Shang, Guang Cheng2015 · 36 citationsarXiv
Nonparametric Bayesian Aggregation for Massive Data1508.04175v3 · Zuofeng Shang, Botao Hao, Guang Cheng2015 · 4 citationsarXiv
Sparse and Efficient Estimation for Partial Spline Models with Increasing Dimension.25620808 · Cheng, Guang, Zhang, Hao Helen, Shang, Zuofeng2020 · 14 citationsAnnals of the Institute of Statistical Mathematics. 2015;67(1):93-127
Gaussian Approximation of General Nonparametric Posterior Distributions1411.3686v4 · Zuofeng Shang, Guang Cheng2014 · 3 citationsarXiv
Nonparametric inference in generalized functional linear models1405.6655v3 · Zuofeng Shang, Guang Cheng2014 · 56 citationsAnnals of Statistics 2015, Vol. 43, No. 4, 1742-1773on Valency
Joint asymptotics for semi-nonparametric regression models with partially linear structure1311.2628v4 · Guang Cheng, Zuofeng Shang2013 · 27 citationsAnnals of Statistics 2015, Vol. 43, No. 3, 1351-1390
High-Dimensional Bayesian Inference in Nonparametric Additive Models1307.0056v3 · Zuofeng Shang, Ping Li2013 · 3 citationsarXiv
Bayesian Ultrahigh-Dimensional Screening Via MCMC1302.1154v4 · Zuofeng Shang, Ping Li2013 · 1 citationarXiv
Career total: 107 works. 53 are in this corpus.Showing the 50 most recent.
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