Orientation Estimation of Cryo-EM Images for Molecules with Arbitrary Symmetry by Semidefinite Programming.
Yunpeng Shi, Amit Singer, Jinxin Wang, Ruiyi Yang. arXiv preprint, 2026.
Functional Multi-Target Detection via Bispectrum Inversion.
Anna Little, Daniel Sanz-Alonso, Mikhail Sweeney, Ruiyi Yang. arXiv preprint, 2026.
Bayesian Optimization on Networks. [arXiv]
Wenwen Li, Daniel Sanz-Alonso, and Ruiyi Yang. Journal of Computational Physics 558: 114819, 2026.
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood.
Bryon Aragam and Ruiyi Yang. arXiv preprint, 2025.
Gaussian Process Regression under Computational and Epistemic Misspecification. [arXiv]
Daniel Sanz-Alonso and Ruiyi Yang. SIAM Journal on Numerical Analysis 63(2):495-519, 2025.
Alignment of Density Maps in Wasserstein Distance. [arXiv]
Amit Singer and Ruiyi Yang. Biological Imaging 4:e5, 2024.
Optimization on Manifolds via Graph Gaussian Processes. [arXiv]
Hwanwoo Kim, Daniel Sanz-Alonso, and Ruiyi Yang. SIAM Journal on Mathematics of Data Science 6(1):1-25, 2024.
Uniform Consistency in Nonparametric Mixture Models. [arXiv]
Bryon Aragam and Ruiyi Yang. The Annals of Statistics 51(1):362-390, 2023.
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning. [arXiv]
Nicolás García Trillos, Daniel Sanz-Alonso, and Ruiyi Yang. Notices of the American Mathematical Society 69(10):1717-1729, 2022.
Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy. [arXiv]
Daniel Sanz-Alonso and Ruiyi Yang. SIAM/ASA Journal on Uncertainty Quantification 10(4):1323-1349, 2022.
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective. [arXiv]
Daniel Sanz-Alonso and Ruiyi Yang. Journal of Machine Learning Research 23(97):1-28, 2022.
The SPDE Approach to Matérn Fields: Graph Representations. [arXiv]
Daniel Sanz-Alonso and Ruiyi Yang. Statistical Science 37(4):519-540, 2022.
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. [arXiv]
John Harlim, Daniel Sanz-Alonso, and Ruiyi Yang. SIAM/ASA Journal on Uncertainty Quantification 8(4): 1414-1445, 2020.
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis. [arXiv]
Nicolás García Trillos, Daniel Sanz-Alonso, and Ruiyi Yang. Journal of Machine Learning Research 20(136):1-37, 2019.