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Yan Shuo Tan
Yan Shuo Tan
Assistant Professor in Statistics, National University of Singapore
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Phase retrieval via randomized Kaczmarz: theoretical guarantees
YS Tan, R Vershynin
Information and Inference: A Journal of the IMA 8 (1), 97-123, 2019
1152019
Curating a COVID-19 data repository and forecasting county-level death counts in the United States
N Altieri, RL Barter, J Duncan, R Dwivedi, K Kumbier, X Li, R Netzorg, ...
Harvard Data Science Review, 2021
812021
Online stochastic gradient descent with arbitrary initialization solves non-smooth, non-convex phase retrieval
YS Tan, R Vershynin
Journal of Machine Learning Research 24 (58), 1-47, 2023
49*2023
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
A Agarwal, YS Tan, O Ronen, C Singh, B Yu
International Conference on Machine Learning, 111-135, 2022
352022
Stable discovery of interpretable subgroups via calibration in causal studies
R Dwivedi, YS Tan, B Park, M Wei, K Horgan, D Madigan, B Yu
International Statistical Review 88, S135-S178, 2020
312020
Subspace clustering using ensembles of K-subspaces
J Lipor, D Hong, YS Tan, L Balzano
Information and Inference: A Journal of the IMA 10 (1), 73-107, 2021
282021
Fast interpretable greedy-tree sums (figs)
YS Tan, C Singh, K Nasseri, A Agarwal, J Duncan, O Ronen, M Epland, ...
ArXivorg, 2023
262023
imodels: a python package for fitting interpretable models
C Singh, K Nasseri, YS Tan, T Tang, B Yu
Journal of open source software 6 (61), 3192, 2021
212021
Polynomial time and sample complexity for non-gaussian component analysis: Spectral methods
YS Tan, R Vershynin
Conference On Learning Theory, 498-534, 2018
142018
Energy optimization for distributions on the sphere and improvement to the Welch bounds
YS Tan
122017
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
YS Tan, A Agarwal, B Yu
International Conference on Artificial Intelligence and Statistics, 9663-9685, 2022
112022
MDI+: A Flexible Random Forest-Based Feature Importance Framework
A Agarwal, AM Kenney, YS Tan, TM Tang, B Yu
arXiv preprint arXiv:2307.01932, 2023
52023
On the diameter of Cayley graphs of finite groups
YS Tan
University of Chicago VIGRE REU, 2011
52011
A mixing time lower bound for a simplified version of bart
O Ronen, T Saarinen, YS Tan, J Duncan, B Yu
arXiv preprint arXiv:2210.09352, 2022
42022
Special issue 1-covid-19: unprecedented challenges and chances
N Altieri, RL Barter, J Duncan, R Dwivedi, K Kumbier, X Li, R Netzorg, ...
Harvard Data Science Review, 2021
32021
Sparse phase retrieval via sparse pca despite model misspecification: A simplified and extended analysis
YS Tan
arXiv preprint arXiv:1712.04106, 2017
32017
A skeleton in the category: The secret theory of covering spaces
YS Tan
1
Error Reduction from Stacked Regressions
X Chen, JM Klusowski, YS Tan
arXiv preprint arXiv:2309.09880, 2023
2023
Erratum to: Subspace clustering using ensembles of K>-subspaces
J Lipor, D Hong, YS Tan, L Balzano
Information and Inference: A Journal of the IMA 12 (1), 590-590, 2023
2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non
YS Tan, R Vershynin
2019
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Articles 1–20