Abhineet Agarwal
Scholar

Abhineet Agarwal

Google Scholar ID: _tsYRXwAAAAJ
Statistics PhD, University of California, Berkeley
Large Language ModelsAI ExplainabilityCausal InferenceBandits
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Citations & Impact
All-time
Citations
207
 
H-index
8
 
i10-index
7
 
Publications
17
 
Co-authors
11
list available
Contact
No contact links provided.
Publications
6 items
Local MDI+: Local Feature Importances for Tree-Based Models
2025
Cited
0
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
2025
Cited
0
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
2025
Cited
0
Enhancing CBMs Through Binary Distillation with Applications to Test-Time Intervention
2025
Cited
0
SPEX: Scaling Feature Interaction Explanations for LLMs
2025
Cited
0
Integrating Random Forests and Generalized Linear Models for Improved Accuracy and Interpretability
2023
Cited
11
Resume (English only)
Co-authors
11 total
Bin YU
Bin YU
Professor of Statistics and EECS, UC Berkeley
Yan Shuo Tan
Yan Shuo Tan
Assistant Professor, National University of Singapore
Omer Ronen
Omer Ronen
UC Berkeley
Ana Maria Kenney
Ana Maria Kenney
University of California Irvine
Anish Agarwal
Anish Agarwal
Assistant Professor, Columbia University
Yigit Efe Erginbas
Yigit Efe Erginbas
UC Berkeley Electrical Engineering and Computer Science
Justin S. Kang
Justin S. Kang
University of California Berkeley
Landon Butler
Landon Butler
EECS Ph.D. student, University of California, Berkeley