Yan Shuo Tan
According to our database1,
Yan Shuo Tan
authored at least 18 papers
between 2016 and 2024.
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Bibliography
2024
CoRR, 2024
The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis.
CoRR, 2024
2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval.
J. Mach. Learn. Res., 2023
2022
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods.
CoRR, 2022
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
Proceedings of the International Conference on Machine Learning, 2022
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
J. Open Source Softw., 2021
2020
CoRR, 2020
Curating a COVID-19 data repository and forecasting county-level death counts in the United States.
CoRR, 2020
2018
Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods.
Proceedings of the Conference On Learning Theory, 2018
2017
Sparse Phase Retrieval via Sparse PCA Despite Model Misspecification: A Simplified and Extended Analysis.
CoRR, 2017
2016
Energy optimization for distributions on the sphere and improvement to the Welch bounds.
CoRR, 2016