Abhineet Agarwal

19 papers A* 5A 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing CBMs Through Binary Distillation with Applications to Test-Time Intervention.
CoRR
Matthew Shen, Aliyah R. Hsu, Abhineet Agarwal, Bin Yu
2025 J jnl
Local MDI+: Local Feature Importances for Tree-Based Models.
CoRR
Zhongyuan Liang, Zachary T. Rewolinski, Abhineet Agarwal, Tiffany M. Tang, Bin Yu
2025 J jnl
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework.
CoRR
Abhineet Agarwal, Michael Xiao, Rebecca L. Barter, Omer Ronen, Boyu Fan, Bin Yu
2025 J jnl
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs.
CoRR
Landon Butler, Abhineet Agarwal, Justin Singh Kang, Yigit Efe Erginbas, Bin Yu, Kannan Ramchandran
2025 A* conf
SPEX: Scaling Feature Interaction Explanations for LLMs.
ICML
Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran
2025 J jnl
SPEX: Scaling Feature Interaction Explanations for LLMs.
CoRR
Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Kannan Ramchandran, Bin Yu
2024 A* conf
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance.
ICML
Liwen Sun, Abhineet Agarwal, Aaron Kornblith, Bin Yu, Chenyan Xiong
2024 J jnl
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance.
CoRR
Liwen Sun, Abhineet Agarwal, Aaron Kornblith, Bin Yu, Chenyan Xiong
2024 J jnl
Multi-Armed Bandits with Network Interference.
CoRR
Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
2024 A* conf
Mutli-Armed Bandits with Network Interference.
NeurIPS
Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
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 A* conf
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions.
NeurIPS
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
2023 J jnl
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions.
CoRR
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
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
2022 J jnl
VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS.
J. Open Source Softw.
James Duncan, Rush Kapoor, Abhineet Agarwal, 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