A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. - Yan Shuo Tan; Abhineet Agarwal; Bin Yu 001 (AISTATS, 2022)

Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. - Abhineet Agarwal; Yan Shuo Tan; Omer Ronen; Chandan Singh; Bin Yu 001 (ICML, 2022)

Fast Interpretable Greedy-Tree Sums (FIGS). - Yan Shuo Tan; Chandan Singh; Keyan Nasseri; Abhineet Agarwal; Bin Yu 001 (CoRR, 2022)

Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods. - Abhineet Agarwal; Yan Shuo Tan; Omer Ronen; Chandan Singh; Bin Yu 001 (CoRR, 2022)

VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS. - James Duncan 002; Rush Kapoor; Abhineet Agarwal; Chandan Singh; Bin Yu 001 (J. Open Source Softw., 2022)

Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. - Abhineet Agarwal; Anish Agarwal; Suhas Vijaykumar (NeurIPS, 2023)

MDI+: A Flexible Random Forest-Based Feature Importance Framework. - Abhineet Agarwal; Ana M. Kenney; Yan Shuo Tan; Tiffany M. Tang; Bin Yu 001 (CoRR, 2023)

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance. - Liwen Sun; Abhineet Agarwal; Aaron Kornblith; Bin Yu 001; Chenyan Xiong (ICML, 2024)

Mutli-Armed Bandits with Network Interference. - Abhineet Agarwal; Anish Agarwal; Lorenzo Masoero; Justin Whitehouse (NeurIPS, 2024)

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance. - Liwen Sun; Abhineet Agarwal; Aaron Kornblith; Bin Yu; Chenyan Xiong (CoRR, 2024)

Multi-Armed Bandits with Network Interference. - Abhineet Agarwal; Anish Agarwal; Lorenzo Masoero; Justin Whitehouse (CoRR, 2024)

SPEX: Scaling Feature Interaction Explanations for LLMs. - Justin Singh Kang; Landon Butler; Abhineet Agarwal; Yigit Efe Erginbas; Ramtin Pedarsani; Kannan Ramchandran; Bin Yu 001 (CoRR, 2025)

Enhancing CBMs Through Binary Distillation with Applications to Test-Time Intervention. - Matthew Shen; Aliyah R. Hsu; Abhineet Agarwal; Bin Yu 001 (CoRR, 2025)

PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework. - Abhineet Agarwal; Michael Xiao; Rebecca L. Barter; Omer Ronen; Boyu Fan; Bin Yu 001 (CoRR, 2025)

ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs. - Landon Butler; Abhineet Agarwal; Justin Singh Kang; Yigit Efe Erginbas; Bin Yu 001; Kannan Ramchandran (CoRR, 2025)

Local MDI+: Local Feature Importances for Tree-Based Models. - Zhongyuan Liang; Zachary T. Rewolinski; Abhineet Agarwal; Tiffany M. Tang; Bin Yu 001 (CoRR, 2025)