Agarwal, Abhineet

9 publications

ICLRW 2025 Adaptive Test-Time Intervention for Concept Bottleneck Models Matthew Shen, Aliyah R. Hsu, Abhineet Agarwal, Bin Yu
NeurIPS 2025 ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs Landon Butler, Abhineet Agarwal, Justin Singh Kang, Yigit Efe Erginbas, Bin Yu, Kannan Ramchandran
ICML 2025 SPEX: Scaling Feature Interaction Explanations for LLMs Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran
ICLRW 2025 SPEX: Scaling Feature Interaction Explanations for LLMs Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran
ICML 2024 ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance Liwen Sun, Abhineet Agarwal, Aaron Kornblith, Bin Yu, Chenyan Xiong
NeurIPS 2024 Mutli-Armed Bandits with Network Interference Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
NeurIPS 2023 Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
AISTATS 2022 A Cautionary Tale on Fitting Decision Trees to Data from Additive Models: Generalization Lower Bounds Yan Shuo Tan, Abhineet Agarwal, Bin Yu
ICML 2022 Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Models. Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu