Abhineet Agarwal

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Multi Armed Bandit

Feature Importance

Top Venues

J. Open Source Softw.

Publications

Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
Multi-Armed Bandits with Network Interference. CoRR (2024)
Liwen Sun, Abhineet Agarwal, Aaron Kornblith, Bin Yu, Chenyan Xiong
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance. CoRR (2024)
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. CoRR (2023)
Abhineet Agarwal, Ana M. Kenney, Yan Shuo Tan, Tiffany M. Tang, Bin Yu
MDI+: A Flexible Random Forest-Based Feature Importance Framework. CoRR (2023)
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. NeurIPS (2023)
Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods. CoRR (2022)
James Duncan, Rush Kapoor, Abhineet Agarwal, Chandan Singh, Bin Yu
VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS. J. Open Source Softw. 7 (69) (2022)
Yan Shuo Tan, Chandan Singh, Keyan Nasseri, Abhineet Agarwal, Bin Yu
Fast Interpretable Greedy-Tree Sums (FIGS). CoRR (2022)
Yan Shuo Tan, Abhineet Agarwal, Bin Yu
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. AISTATS (2022)
Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML (2022)
Yan Shuo Tan, Abhineet Agarwal, Bin Yu
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. CoRR (2021)