Yandi Shen

Mathematics · Physical Sciences

6h-index124citations33works0.52yr avg
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Research Topics

Statistical Methods and Inference(17), Statistical Methods and Bayesian Inference(13), Bayesian Methods and Mixture Models(10), Markov Chains and Monte Carlo Methods(8), Particle physics theoretical and experimental studies(7)

Publications33 total

Learning single index model with gradient descent: spectral initialization and precise asymptotics
arXiv (Cornell University)·2025Open Access
Dynamical mean-field analysis of adaptive Langevin diffusions: Replica-symmetric fixed point and empirical Bayes
arXiv (Cornell University)·2025Open Access
Dynamical mean-field analysis of adaptive Langevin diffusions: Propagation-of-chaos and convergence of the linear response
arXiv (Cornell University)·2025Open Access
Searching for beyond the Standard Model physics using the improved description of 100Mo $$2\nu \beta \beta $$ decay spectral shape with CUPID-Mo
The European Physical Journal C·2024· 3 citedOpen Access
Generalized kernel distance covariance in high dimensions: non-null CLTs and power universality
Information and Inference A Journal of the IMA·2024Open Access
Searching for Beyond the Standard Model physics using the improved description of $^{100}$Mo $2νββ$ decay spectral shape with CUPID-Mo
arXiv (Cornell University)·2024Open Access
Gradient flows for empirical Bayes in high-dimensional linear models
arXiv (Cornell University)·2023· 2 citedOpen Access
Contiguity under high-dimensional Gaussianity with applications to covariance testing
The Annals of Applied Probability·2023· 2 cited
Measurement of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mn>2</mml:mn><mml:mi>ν</mml:mi><mml:mi>β</mml:mi><mml:mi>β</mml:mi></mml:mrow></mml:math> Decay Rate and Spectral Shape of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Mo</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>100</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math> from the CUPID-Mo Experiment
Physical Review Letters·2023· 22 citedOpen Access
Universality of regularized regression estimators in high dimensions
The Annals of Statistics·2023· 11 cited
The background model of the CUPID-Mo $$0\nu \beta \beta $$ experiment
The European Physical Journal C·2023· 11 citedOpen Access
Measurement of the $2νββ$ decay rate and spectral shape of $^{100}$Mo from the CUPID-Mo experiment
PubMed·2023· 1 citedOpen Access
Nonparametric Mixture MLEs Under Gaussian-Smoothed Optimal Transport Distance
IEEE Transactions on Information Theory·2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
arXiv (Cornell University)·2023· 10 citedOpen Access
Uncertainty quantification in the Bradley–Terry–Luce model
Information and Inference A Journal of the IMA·2023· 11 cited
Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?
arXiv (Cornell University)·2022Open Access
Universality of regularized regression estimators in high dimensions
arXiv (Cornell University)·2022· 1 citedOpen Access
Final results on the $0\\nu\\beta\\beta$ decay half-life limit of\n $^{100}$Mo from the CUPID-Mo experiment
arXiv (Cornell University)·2022Open Access
On a Phase Transition in General Order Spline Regression
IEEE Transactions on Information Theory·2022· 4 cited
High-dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints
The Annals of Statistics·2022· 4 cited
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Frequent Co-authors

Qiyang Han(11), Fang Han(8), F. Bellini(7), L. Bergé(7), J. Billard(7), L. Dumoulin(7), A. Giuliani(7), V. D. Grigorieva(7), H. Khalife(7), L. Pagnanini(7), M. Pavan(7), G. Pessina(7), O. G. Polischuk(7), T. Redon(7), M. Velázquez(7), M. Xue(7), C. Augier(6), N. Casali(6), A. Cazes(6), T. Dixon(6)