You can also find my papers on Google Scholar. Note * denotes equal contribution with order determined by coin flip.

• ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
  Landon Butler*, Abhineet Agarwal^*, Justin Kang*, Yigit Erginbas, Bin Yu, Kannan Ramchandran

• PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Franework
  Abhineet Agarwal^*, Michael Xiao*, Rebecca Barter*, Omer Ronen, Boyu Fan, Bin Yu Venue: In submission to the Proceedings of the National Academy of Sciences (PNAS)

• SPEX: Scaling Feature Interaction Explanations for LLMs
  Justin Kang*, Landon Butler*, Abhineet Agarwal^*, Yigit Erginbas, Ramtin Pedarsani, Kannan Ramchandran, Bin Yu

• Multi-Armed Bandits with Network Interference
  Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse.
  Venue: NeurIPS, 2024

• ED-Copilot: Reduce Emergency Wait Time with Language Model Diagnostic Assistance
  Liwen Sun, Abhineet Agarwal, Aaron Kornblith, Bin Yu, Chenyan Xiong.
  Venue: ICML, 2024

• Synthetic Combinations: A Causal Inference Framework for Combinatiorial Interventions
  Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
  Venue: NeurIPS, 2023, extended version in submission to Econometrica

• Fast Interpretable Greedy Tree Sums (FIGS)
  Yan Shuo Tan*, Chandan Singh*, Keyan Nasseri*, Abhineet Agarwal^*, et al.
  Venue: Proceedings of the National Academy of Sciences (PNAS), 2025

• MDI+: A Flexible Random Forest-Based Feature Importance Framework
  Abhineet Agarwal^*, Ana Kenney*, Yan Shuo Tan*, Tiffany Tang*, Bin Yu
  Venue: Submitted to Journal of the American Statistical Association (JASA), 2023

• Epistasis regulates genetic control of cardiac hypertrophy
  Tiffany Tang, …, Abhineet Agarwal,… Bin Yu
  Venue: Nature Cardiovascular Research, 2023

• Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Models
  Abhineet Agarwal^*, Yan Shuo Tan*, Omer Ronen, Chandan Singh, Bin Yu
  Venue: ICML, 2022. (Oral Presentation)

• Veridical Flow: A Python Package for Building Trustworthy Data Science Pipelines with PCS
  James Duncan*, Rush Kapoor*, Abhineet Agarwal^*, Chandan Singh^*, Bin Yu
  Venue: Journal of Open Source Software, 2022.

• A Cautionary Tale on the Fitting Decision Trees to Additive Models: Generalization Lower Bounds
  Yan Shuo Tan, Abhineet Agarwal, Bin Yu
  Venue: AISTATS, 2022.