Yiming Xu

Yiming Xu

Postdoctoral Fellow, Department of Statistics and Actuarial Science, University of Waterloo

Publications

Preprints

  1. Ruijian Han, Wenlu Tang, Yiming Xu, Statistical inference for pairwise comparison models, arxiv (2024)
  2. Reza Gheissari, Aukosh Jagannath, Yiming Xu, Finding planted cliques using Markov chain Monte Carlo, arxiv (2023)
  3. Ruijian Han, Yiming Xu, A unified analysis of likelihood-based estimators in the Plackett-Luce model, arxiv (2023)
  4. Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu, An approximate control variates approach to multifidelity distribution estimation, arxiv (2023)
  5. Katy Craig, Braxton Osting, Dong Wang, Yiming Xu, Wasserstein archetypal analysis, arxiv (2022)
  6. Osman A. Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan, Fast algorithms for monotone lower subsets of Kronecker least squares problems, arxiv (2022)

Peer-Reviewed Journals

  1. Nuojin Cheng, Osman A. Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan, Subsampling of parametric models with bi-fidelity boosting, SIAM-ASA J. Uncertain. Quantif. (2024)
  2. Yiming Xu, Akil Narayan, Randomized weakly admissible meshes, J. Approx. Theory (2023)
  3. Yiming Xu, Akil Narayan, Budget-limited distribution learning in multifidelity problems, Numer. Math. (2023)
  4. Ruijian Han, Yiming Xu, Kani Chen, A general pairwise comparison model for extremely sparse networks, J. Amer. Statist. Assoc. (2022)
  5. Ruijian Han, Braxton Osting, Dong Wang, Yiming Xu, Probabilistic methods for approximate archetypal analysis, Inf. Inference (2022)
  6. Yiming Xu, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan, A bandit-learning approach to multifidelity approximation, SIAM J. Sci. Comput. (2022)
  7. Yiming Xu, Akil Narayan, Hoang Tran, Clayton G. Webster, Analysis of the ratio of l1 and l2 norms in compressed sensing, Appl. Comput. Harmon. Anal. (2021)
  8. Braxton Osting, Dong Wang, Yiming Xu, Dominique Zosso, Consistency of archetypal analysis, SIMODS (2021)

Conference Proceedings

  1. Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Robert M. Kirby, Shandian Zhe, Meta learning of interface conditions for multi-domain physics-informed neural networks, ICML (2023)
  2. Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe, Nonparametric embeddings of sparse high-order interaction events, ICML (2022)