Yiming Xu - RankMe

20 papers A* 2Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast algorithms for least squares problems with Kronecker lower subsets. J. Sci. Comput. Osman Asif Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan
2025	J	`jnl`	Finding Planted Cliques Using Gradient Descent. SIAM J. Math. Data Sci. Reza Gheissari, Aukosh Jagannath, Yiming Xu
2025	J	`jnl`	Hybrid least squares for learning functions from highly noisy data. CoRR Ben Adcock, Bernhard Hientzsch, Akil Narayan, Yiming Xu
2024	J	`jnl`	An Approximate Control Variates Approach to Multifidelity Distribution Estimation. SIAM/ASA J. Uncertain. Quantification Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu
2024	J	`jnl`	Subsampling of Parametric Models with Bifidelity Boosting. SIAM/ASA J. Uncertain. Quantification Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan
2023	J	`jnl`	An approximate control variates approach to multifidelity distribution estimation. CoRR Ruijian Han, Akil Narayan, Yiming Xu
2023	J	`jnl`	Budget-limited distribution learning in multifidelity problems. Numerische Mathematik Yiming Xu, Akil Narayan
2023	A*	`conf`	Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks. ICML Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe
2023	J	`jnl`	Randomized weakly admissible meshes. J. Approx. Theory Yiming Xu, Akil Narayan
2022	J	`jnl`	A Bandit-Learning Approach to Multifidelity Approximation. SIAM J. Sci. Comput. Yiming Xu, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan
2022	J	`jnl`	Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems. CoRR Osman Asif Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan
2022	A*	`conf`	Nonparametric Embeddings of Sparse High-Order Interaction Events. ICML Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe
2022	J	`jnl`	Nonparametric Embeddings of Sparse High-Order Interaction Events. CoRR Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe
2022	J	`jnl`	Quadrature Sampling of Parametric Models with Bi-fidelity Boosting. CoRR Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan
2021	J	`jnl`	A bandit-learning approach to multifidelity approximation. CoRR Yiming Xu, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan
2021	J	`jnl`	Budget-limited distribution learning in multifidelity problems. CoRR Yiming Xu, Akil Narayan
2021	J	`jnl`	Consistency of Archetypal Analysis. SIAM J. Math. Data Sci. Braxton Osting, Dong Wang, Yiming Xu, Dominique Zosso
2021	J	`jnl`	Probabilistic methods for approximate archetypal analysis. CoRR Ruijian Han, Braxton Osting, Dong Wang, Yiming Xu
2021	J	`jnl`	Randomized weakly admissible meshes. CoRR Yiming Xu, Akil Narayan
2020	J	`jnl`	Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing. CoRR Yiming Xu, Akil Narayan, Hoang Tran, Clayton G. Webster