Yan Shuo Tan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Sample Complexity

Regression Trees

Top Venues

J. Mach. Learn. Res.

Publications

Yan Shuo Tan, Omer Ronen, Theo Saarinen, Bin Yu
The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis. CoRR (2024)
Yan Shuo Tan, Roman Vershynin
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval. J. Mach. Learn. Res. 24 (2023)
Abhineet Agarwal, Ana M. Kenney, Yan Shuo Tan, Tiffany M. Tang, Bin Yu
MDI+: A Flexible Random Forest-Based Feature Importance Framework. CoRR (2023)
Xin Chen, Jason M. Klusowski, Yan Shuo Tan
Error Reduction from Stacked Regressions. CoRR (2023)
Omer Ronen, Theo Saarinen, Yan Shuo Tan, James Duncan, Bin Yu
A Mixing Time Lower Bound for a Simplified Version of BART. CoRR (2022)
Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods. CoRR (2022)
Yan Shuo Tan, Chandan Singh, Keyan Nasseri, Abhineet Agarwal, Bin Yu
Fast Interpretable Greedy-Tree Sums (FIGS). CoRR (2022)
Yan Shuo Tan, Abhineet Agarwal, Bin Yu
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. AISTATS (2022)
Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML (2022)
Yan Shuo Tan, Abhineet Agarwal, Bin Yu
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. CoRR (2021)
Chandan Singh, Keyan Nasseri, Yan Shuo Tan, Tiffany Tang, Bin Yu
imodels: a python package for fitting interpretable models. J. Open Source Softw. 6 (61) (2021)
Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Bin Yu
Curating a COVID-19 data repository and forecasting county-level death counts in the United States. CoRR (2020)
Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu
Stable discovery of interpretable subgroups via calibration in causal studies. CoRR (2020)
Yan Shuo Tan, Roman Vershynin
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval. CoRR (2019)
Yan Shuo Tan, Roman Vershynin
Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods. COLT (2018)
Yan Shuo Tan
Sparse Phase Retrieval via Sparse PCA Despite Model Misspecification: A Simplified and Extended Analysis. CoRR (2017)
Yan Shuo Tan, Roman Vershynin
Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees. CoRR (2017)
Yan Shuo Tan, Roman Vershynin
Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods. CoRR (2017)
Yan Shuo Tan
Energy optimization for distributions on the sphere and improvement to the Welch bounds. CoRR (2016)