Kaizheng Wang
Scholar

Kaizheng Wang

Google Scholar ID: GWkwfBIAAAAJ
Columbia University
Machine LearningStatisticsOptimization
Citations & Impact
All-time
Citations
1,811
 
H-index
13
 
i10-index
13
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Paper “A Minimalist Bayesian Framework for Stochastic Optimization” posted on arXiv (2025)
  • Paper “Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift” accepted by Annals of Statistics (2025+)
  • Paper “Uncertainty Quantification for LLM-Based Survey Simulations” accepted by ICML 2025
  • Paper “A Stability Principle for Learning under Non-Stationarity” accepted by Operations Research (2025+)
  • Paper “An ℓp Theory of PCA and Spectral Clustering” received the 2024 Frontier of Science Award from the International Congress for Basic Science
  • Paper on implicit regularization in nonconvex statistical estimation received the SIAM Activity Group on Imaging Science Best Paper Prize
  • Serving as Area Chair for ICML 2024 and 2025, and meta-reviewer for COLT 2024 and 2025
  • PhD student Chengpiao Huang received the Deming Doctoral Fellowship, Best Student Presentation Award at NESS 2025, and Outstanding Teaching Assistant Award at IEOR
  • Team (Chengpiao Huang, Yuhang Wu, Kaizheng Wang) won Second Place in the 2023 INFORMS Blue Summit Supplies Data Challenge and topped the two-week live test
  • Received the Junior Researcher Award at the 2024 ICSA China Conference
Co-authors
0 total
Co-authors: 0 (list not available)