3 papers
cs.LG2026
Imperfect Influence, Preserved Rankings: A Theory of TRAK for Data Attribution
Han Tong, Shubhangi Ghosh, Haolin Zou +1
Data attribution, tracing a model's prediction back to specific training data, is an important tool for interpreting sophisticated AI models. The widely used TRAK algorithm address…
math.ST2025
Signal-to-noise ratio aware minimax analysis of sparse linear regression
Shubhangi Ghosh, Yilin Guo, Haolei Weng +1
We consider parameter estimation under sparse linear regression -- an extensively studied problem in high-dimensional statistics and compressed sensing. While the minimax framework…
math.ST2024
A note on the minimax risk of sparse linear regression
Yilin Guo, Shubhangi Ghosh, Haolei Weng +1
Sparse linear regression is one of the classical and extensively studied problems in high-dimensional statistics and compressed sensing. Despite the substantial body of literature…