Yan Shuo Tan

According to our database1, Yan Shuo Tan authored at least 15 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval.
J. Mach. Learn. Res., 2023

Error Reduction from Stacked Regressions.
CoRR, 2023

MDI+: A Flexible Random Forest-Based Feature Importance Framework.
CoRR, 2023

2022
A Mixing Time Lower Bound for a Simplified Version of BART.
CoRR, 2022

Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods.
CoRR, 2022

Fast Interpretable Greedy-Tree Sums (FIGS).
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
imodels: a python package for fitting interpretable models.
J. Open Source Softw., 2021

2020
Stable discovery of interpretable subgroups via calibration in causal studies.
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

Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees.
CoRR, 2017

2016
Energy optimization for distributions on the sphere and improvement to the Welch bounds.
CoRR, 2016


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