Kaizheng Wang
Openings
I'm seeking highly motivated Ph.D. students with strong mathematical backgrounds and interests in machine learning, statistics and optimization.
News
New paper “Uncertainty Quantification for LLM-Based Survey Simulations” posted on arXiv.
Postdoc Zhongyuan Lyu will join the University of Sydney Business School as a Lecturer (equivalent to US tenure-track Assistant Professor) of Business Analytics. Congratulations!.
New paper “Transfer Learning of CATE with Kernel Ridge Regression” posted on arXiv.
New paper “A Particle Algorithm for Mean-Field Variational Inference” posted on arXiv.
New paper “Localized Exploration in Contextual Dynamic Pricing Achieves Dimension-Free Regret” posted on arXiv.
I will be an Area Chair of ICML 2025 and a meta-reviewer of COLT 2025.
New paper “Adaptive Transfer Clustering: A Unified Framework” posted on arXiv.
Our paper “An \(\ell_p\) Theory of PCA and Spectral Clustering” received the 2024 Frontier of Science Award presented by the International Congress for Basic Science.
Paper “Model Assessment and Selection under Temporal Distribution Shift” accepted by ICML 2024. Congratulations to undergraduate student Elise Han on her first paper!
Our proposal on policy evaluation, transfer learning and the safety of autonomous vehicles got awarded the Data Science Institute Seed Fund by Columbia University.
Our paper on implicit regularization in nonconvex statistical estimation received the SIAM Activity Group on Imaging Science Best Paper Prize.
I will be an Area Chair of ICML 2024 and a meta-reviewer of COLT 2024.
Our team (Chengpiao Huang, Yuhang Wu, and myself) won the Second Place Award in the 2023 INFORMS Blue Summit Supplies Data Challenge, along with a $1,000 cash prize. We also clinched the top spot in the two-week live test of pricing and forecasting with our own data integration techniques (Papers 1 and 2). Special thanks to the INFORMS Data Mining Society and Blue Summit Supplies for putting together this wonderful competition!
Undergraduate student Yuhang Wu started his PhD at the Decision, Risk, and Operations (DRO) division at Columbia Business School. Congratulations!
Undergraduate student Sara Zhao received the prestigious Stephen D. Guarino Memorial Award, which is made annually to one member of the senior class of IEOR. Congratulations!
Representative Publications
(\(\alpha\)-\(\beta\): author names are sorted alphabetically; \(\dagger\): student/postdoc supervised.)
Uncertainty Quantification for LLM-Based Survey Simulations.
Chengpiao Huang\(\dagger\), Yuhang Wu, Kaizheng Wang
arXiv preprint arXiv:2502.17773, 2025. Code
Adaptive Transfer Clustering: A Unified Framework.
Yuqi Gu, Zhongyuan Lyu\(\dagger\), Kaizheng Wang (\(\alpha\)-\(\beta\))
arXiv preprint arXiv:2410.21263, 2024. Code
A Stability Principle for Learning under Non-Stationarity.
Chengpiao Huang\(\dagger\), Kaizheng Wang (\(\alpha\)-\(\beta\))
arXiv preprint arXiv:2310.18304, 2023. Code
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift.
Kaizheng Wang
Junior Researcher Award, 2024 ICSA China Conference.
arXiv preprint arXiv:2302.10160, 2023. Talk Code
Adaptive and Robust Multi-Task Learning
Yaqi Duan, Kaizheng Wang (\(\alpha\)-\(\beta\))
Annals of Statistics 51(5): 2015-2039, 2023.
arXiv Code
Clustering a Mixture of Gaussians with Unknown Covariance
Damek Davis, Mateo Díaz, Kaizheng Wang (\(\alpha\)-\(\beta\))
Bernoulli, Accepted.
arXiv preprint arXiv:2110.01602, 2021.
An \(\ell_p\) Theory of PCA and Spectral Clustering
Emmanuel Abbe, Jianqing Fan, Kaizheng Wang (\(\alpha\)-\(\beta\))
Annals of Statistics 50(4): 2359-2385, 2022.
Frontiers of Science Award in Mathematics, 2024 International Congress of Basic Science.
Presented by Jianqing Fan at the IMS Le Cam Lecture at the 2021 Joint Statistical Meetings.
arXiv
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Emmanuel Abbe, Jianqing Fan, Kaizheng Wang, Yiqiao Zhong (\(\alpha\)-\(\beta\))
Annals of Statistics 48(3): 1452-1474, 2020.
arXiv
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution
Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen
Foundations of Computational Mathematics 20 (3): 451–632, 2020.
SIAM Activity Group on Imaging Science Best Paper Prize, 2024.
arXiv
Distributed Estimation of Principal Eigenspaces
Jianqing Fan, Dong Wang, Kaizheng Wang, Ziwei Zhu (\(\alpha\)-\(\beta\))
Annals of Statistics 47 (6): 3009-3031, 2019.
arXiv
Spectral Method and Regularized MLE are both Optimal for Top-K Ranking
Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang (\(\alpha\)-\(\beta\))
Annals of Statistics 47 (4): 2204-2235, 2019.
arXiv
Funding
Support from the following funding sources is gratefully acknowledged:
Miscellaneous
My Erdös number is 3: Kaizheng Wang - Emmanuel Abbe - Noga Alon - Paul Erdös.
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