YS
Yandi Shen
math.STstat.THmath.PRstat.MLcs.IThep-exmath.ITnucl-exstat.MEcs.LG
On Valency
published · living versionsW_b4jxx949·v1 · currentpublished
Self-regularization and structural adaptation of NPMLE for Gaussian mixture models in all dimensions
with Yanjun Han, Yihong Wu
1 version
Preprints & journals
20 papers in the corpus · 2019–2026Empirical Bayes linear regression in high dimensions: Method of moments and sub-linear sample complexity2608.16771v1 · Zhou Fan, Yandi Shen, Haoyu Wang et al.2026 · 0 citationsarXiv
Approximate Message Passing with Random Initialization for Phase Retrieval2608.01654v1 · Yuchen Chen, Yandi Shen, Xingyu Xu2026 · 0 citationsarXiv
Learning single index model with gradient descent: spectral initialization and precise asymptotics2509.23527v1 · Yuchen Chen, Yandi Shen2025 · 0 citationsarXiv
Dynamical mean-field analysis of adaptive Langevin diffusions: Propagation-of-chaos and convergence of the linear response2504.15556v2 · Zhou Fan, Justin Ko, Bruno Loureiro et al.2025 · 0 citationsarXiv
Dynamical mean-field analysis of adaptive Langevin diffusions: Replica-symmetric fixed point and empirical Bayes2504.15558v2 · Zhou Fan, Justin Ko, Bruno Loureiro et al.2025 · 0 citationsarXiv
Searching for Beyond the Standard Model physics using the improved description of Mo decay spectral shape with CUPID-Mo2405.10766v2 · C. Augier, A. S. Barabash, F. Bellini et al.2024 · 0 citationsarXiv
Gradient flows for empirical Bayes in high-dimensional linear models2312.12708v2 · Zhou Fan, Leying Guan, Yandi Shen et al.2023 · 2 citationsarXiv
Measurement of the decay rate and spectral shape of Mo from the CUPID-Mo experiment2307.14086v1 · C. Augier, A. S. Barabash, F. Bellini et al.2023 · 27 citationsarXiv
The background model of the CUPID-Mo experiment2305.01402v1 · C. Augier, A. S. Barabash, F. Bellini et al.2023 · 16 citationsarXiv
Empirical Bayes estimation: When does -modeling beat -modeling in theory (and in practice)?2211.12692v2 · Yandi Shen, Yihong Wu2022 · 1 citationarXiv
Universality of regularized regression estimators in high dimensions2206.07936v2 · Qiyang Han, Yandi Shen2022 · 20 citationsarXiv
Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance2112.02421v1 · Fang Han, Zhen Miao, Yandi Shen2021 · 5 citationsarXiv
Uncertainty quantification in the Bradley-Terry-Luce model2110.03874v2 · Chao Gao, Yandi Shen, Anderson Y. Zhang2021 · 18 citationsarXiv
Generalized kernel distance covariance in high dimensions: non-null CLTs and power universality2106.07725v2 · Qiyang Han, Yandi Shen2021 · 5 citationsarXiv
Contiguity under high dimensional Gaussianity with applications to covariance testing2101.11086v2 · Qiyang Han, Tiefeng Jiang, Yandi Shen2021 · 2 citationsarXiv
High dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints2010.03145v2 · Qiyang Han, Bodhisattva Sen, Yandi Shen2020 · 4 citationsarXiv
On a phase transition in general order spline regression2004.10922v2 · Yandi Shen, Qiyang Han, Fang Han2020 · 7 citationsarXiv
Exponential inequalities for dependent V-statistics via random Fourier features2001.01297v1 · Yandi Shen, Fang Han, Daniela Witten2020 · 5 citationsarXiv
Optimal estimation of variance in nonparametric regression with random design1902.10822v2 · Yandi Shen, Chao Gao, Daniela Witten et al.2019 · 19 citationsarXiv
Tail behavior of dependent V-statistics and its applications1902.02761v1 · Yandi Shen, Fang Han, Daniela Witten2019 · 1 citationarXiv
Career total: 24 works. 20 are in this corpus.
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