Analysis of the ratio of ℓ1 and ℓ2 norms in compressed sensing Y Xu, A Narayan, H Tran, CG Webster Applied and Computational Harmonic Analysis 55, 486-511, 2021 | 21 | 2021 |
Randomized weakly admissible meshes Y Xu, A Narayan Journal of Approximation Theory 285, 105835, 2023 | 7 | 2023 |
A general pairwise comparison model for extremely sparse networks R Han, Y Xu, K Chen Journal of the American Statistical Association 118 (544), 2422-2432, 2023 | 6 | 2023 |
Fast algorithms for monotone lower subsets of Kronecker least squares problems OA Malik, Y Xu, N Cheng, S Becker, A Doostan, A Narayan arXiv preprint arXiv:2209.05662, 2022 | 6 | 2022 |
A bandit-learning approach to multifidelity approximation Y Xu, V Keshavarzzadeh, RM Kirby, A Narayan SIAM Journal on Scientific Computing 44 (1), A150-A175, 2022 | 6 | 2022 |
Probabilistic methods for approximate archetypal analysis R Han, B Osting, D Wang, Y Xu Information and Inference: A Journal of the IMA 12 (1), 466-493, 2023 | 5 | 2023 |
Consistency of archetypal analysis B Osting, D Wang, Y Xu, D Zosso SIAM Journal on Mathematics of Data Science 3 (1), 1-30, 2021 | 5 | 2021 |
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks S Li, M Penwarden, Y Xu, C Tillinghast, A Narayan, RM Kirby, S Zhe International Conference on Machine Learning, 19855-19881, 2023 | 4 | 2023 |
Subsampling of Parametric Models with Bifidelity Boosting N Cheng, OA Malik, Y Xu, S Becker, A Doostan, A Narayan SIAM/ASA Journal on Uncertainty Quantification 12 (2), 213-241, 2024 | 2* | 2024 |
Finding planted cliques using Markov chain Monte Carlo R Gheissari, A Jagannath, Y Xu arXiv preprint arXiv:2311.07540, 2023 | 2 | 2023 |
A unified analysis of likelihood-based estimators in the Plackett--Luce model R Han, Y Xu arXiv preprint arXiv:2306.02821, 2023 | 2 | 2023 |
Budget-limited distribution learning in multifidelity problems Y Xu, A Narayan Numerische Mathematik 153 (1), 171-212, 2023 | 2 | 2023 |
Nonparametric embeddings of sparse high-order interaction events Z Wang, Y Xu, C Tillinghast, S Li, A Narayan, S Zhe International Conference on Machine Learning, 23237-23253, 2022 | 2 | 2022 |
Statistical inference for pairwise comparison models R Han, W Tang, Y Xu arXiv preprint arXiv:2401.08463, 2024 | | 2024 |
An approximate control variates approach to multifidelity distribution estimation R Han, B Kramer, D Lee, A Narayan, Y Xu arXiv preprint arXiv:2303.06422, 2023 | | 2023 |
Wasserstein Archetypal Analysis K Craig, B Osting, D Wang, Y Xu arXiv preprint arXiv:2210.14298, 2022 | | 2022 |