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Yu-Xiang Wang

University of California, Santa Barbara (from arXiv:2312.15999, 2023) · ORCID · OpenAlex

17 papers in scope · 12 published · 5 on the econ.EM arXiv · 484 citations · h-index 9 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Jianyu Xu
  2. Jianyu Xu
  3. Yu-Xiang Wang
  4. Jianyu Xu
  5. Dan Qiao
  6. Virag Shah
  7. Zeqi Ye
  8. Hansheng Jiang
  9. Yongyi Guo
  10. Mengxin Yu
  11. Ningyuan Chen
  12. Guillermo Gallego
  13. José Blanchet
  14. Ramesh Johari
  15. Jianqing Fan
  16. Easton Huch
  17. Michael Keane
  18. Zhuodong Tang
  19. Chen Qiu
  20. Mohsen Bayati

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(5 of 17)

Dynamic Pricing with Adversarially-Censored Demands
working paper2025 · arXiv
with Jianyu Xu, Yining Wang, Xi Chen
Paper profile arXiv arXiv:2502.06168
Pricing with Contextual Elasticity and Heteroscedastic Valuation
working paper2023 · arXiv
with Jianyu Xu
Paper profile arXiv arXiv:2312.15999
Doubly Fair Dynamic Pricing
working paper2022 · arXiv · 1 citations
with Jianyu Xu, Dan Qiao
Paper profile arXiv arXiv:2209.11837
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise
working paper2022 · arXiv · 5 citations
with Jianyu Xu
Paper profile arXiv arXiv:2201.11341
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
published2021 · Neural Information Processing Systems · 4 citations
with Minghao Yin
Neural Information Processing Systems
Optimal Dynamic Regret in Exp-Concave Online Learning
published2021 · Conference on Learning Theory · 8 citations
with Dheeraj Baby
Conference on Learning Theory
Logarithmic Regret in Feature-based Dynamic Pricing
working paper2021 · arXiv · 1 citations
with Jianyu Xu
Paper profile arXiv arXiv:2102.10221
Domain adaptation with conditional distribution matching and generalized label shift
published2020 · Neural Information Processing Systems · 68 citations
with Rémi Tachet des Combes, Han Zhao, Geoffrey J. Gordon, Rémi Tachet, Geoff Gordon
Neural Information Processing Systems
Improving Sparse Vector Technique with Renyi Differential Privacy.
published2020 · Neural Information Processing Systems · 5 citations
with Yuqing Zhu
no link
Technical Note—Nonstationary Stochastic Optimization Under L p,q -Variation Measures
published2019 · Operations Research · 12 citations
with Xi Chen, Yining Wang
Operations Research
Poission Subsampled Rényi Differential Privacy.
published2019 · International Conference on Machine Learning · 21 citations
with Yuqing Zhu
no link
Provable Subspace Clustering: When LRR Meets SSC
published2019 · IEEE Transactions on Information Theory · 154 citations
with Huan Xu, Chenlei Leng
IEEE Transactions on Information Theory
A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data
published2018 · IEEE Transactions on Information Theory · 81 citations · first circulated 2013
with Yining Wang, Aarti Singh, Huan Xu
IEEE Transactions on Information Theory
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods.
published2017 · Neural Information Processing Systems · 13 citations
with Veeranjaneyulu Sadhanala, James Sharpnack, Ryan J. Tibshirani
no link
Graph Sparsification Approaches for Laplacian Smoothing
published2016 · International Conference on Artificial Intelligence and Statistics · 19 citations
with Veeranjaneyulu Sadhanala, Ryan J. Tibshirani
no link
Learning with differential privacy: stability, learnability and the sufficiency and necessity of ERM principle
published2016 · Journal of Machine Learning Research · 56 citations · first circulated 2015
with Jing Lei, Stephen E. Fienberg
Journal of Machine Learning Research
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
published2016 · Neural Information Processing Systems · 36 citations
with Veeranjaneyulu Sadhanala, Ryan J. Tibshirani
Neural Information Processing Systems

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.