Yan Shuo Tan - RankMe

28 papers A* 2A 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BFTS: Thompson Sampling with Bayesian Additive Regression Trees. CoRR Ruizhe Deng, Bibhas Chakraborty, Ran Chen, Yan Shuo Tan
2026	J	`jnl`	Human-AI Co-design for Clinical Prediction Models. CoRR Jean Feng, Avni Kothari, Patrick Vossler, Andrew Bishara, Lucas Zier, Newton Addo, Aaron Kornblith, Yan Shuo Tan, Chandan Singh
2026	J	`jnl`	On the Statistical Optimality of Optimal Decision Trees. CoRR Zineng Xu, Subhro Ghosh, Yan Shuo Tan
2026	J	`jnl`	TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering. CoRR Tianqi Zhao, Guanyang Wang, Yan Shuo Tan, Qiong Zhang
2025	J	`jnl`	Revisiting Randomization in Greedy Model Search. CoRR Xin Chen, Jason M. Klusowski, Yan Shuo Tan, Chang Yu
2025	J	`jnl`	See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis. CoRR Ruinan Jin, Gexin Huang, Xinwei Shen, Qiong Zhang, Yan Shuo Tan, Xiaoxiao Li
2025	J	`jnl`	TabPFN: One Model to Rule Them All? CoRR Qiong Zhang, Yan Shuo Tan, Qinglong Tian, Pengfei Li
2024	J	`jnl`	Bayesian Concept Bottleneck Models with LLM Priors. CoRR Jean Feng, Avni Kothari, Luke Zier, Chandan Singh, Yan Shuo Tan
2024	J	`jnl`	Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators. CoRR Yan Shuo Tan, Jason M. Klusowski, Krishnakumar Balasubramanian
2024	J	`jnl`	The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis. CoRR Yan Shuo Tan, Omer Ronen, Theo Saarinen, Bin Yu
2023	J	`jnl`	Error Reduction from Stacked Regressions. CoRR Xin Chen, Jason M. Klusowski, Yan Shuo Tan
2023	J	`jnl`	MDI+: A Flexible Random Forest-Based Feature Importance Framework. CoRR Abhineet Agarwal, Ana M. Kenney, Yan Shuo Tan, Tiffany M. Tang, Bin Yu
2023	J	`jnl`	Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval. J. Mach. Learn. Res. Yan Shuo Tan, Roman Vershynin
2022	J	`jnl`	A Mixing Time Lower Bound for a Simplified Version of BART. CoRR Omer Ronen, Theo Saarinen, Yan Shuo Tan, James Duncan, Bin Yu
2022	A	`conf`	A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. AISTATS Yan Shuo Tan, Abhineet Agarwal, Bin Yu
2022	J	`jnl`	Fast Interpretable Greedy-Tree Sums (FIGS). CoRR Yan Shuo Tan, Chandan Singh, Keyan Nasseri, Abhineet Agarwal, Bin Yu
2022	A*	`conf`	Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu
2022	J	`jnl`	Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods. CoRR Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu
2021	J	`jnl`	A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. CoRR Yan Shuo Tan, Abhineet Agarwal, Bin Yu
2021	J	`jnl`	imodels: a python package for fitting interpretable models. J. Open Source Softw. Chandan Singh, Keyan Nasseri, Yan Shuo Tan, Tiffany M. Tang, Bin Yu
2020	J	`jnl`	Curating a COVID-19 data repository and forecasting county-level death counts in the United States. CoRR Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany M. Tang, Yu Wang, Bin Yu
2020	J	`jnl`	Stable discovery of interpretable subgroups via calibration in causal studies. CoRR Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu
2019	J	`jnl`	Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval. CoRR Yan Shuo Tan, Roman Vershynin
2018	A*	`conf`	Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods. COLT Yan Shuo Tan, Roman Vershynin
2017	J	`jnl`	Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees. CoRR Yan Shuo Tan, Roman Vershynin
2017	J	`jnl`	Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods. CoRR Yan Shuo Tan, Roman Vershynin
2017	J	`jnl`	Sparse Phase Retrieval via Sparse PCA Despite Model Misspecification: A Simplified and Extended Analysis. CoRR Yan Shuo Tan
2016	J	`jnl`	Energy optimization for distributions on the sphere and improvement to the Welch bounds. CoRR Yan Shuo Tan