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cs.LG2024★ 2 cited
Optimal ablation for interpretability
Maximilian Li, Lucas Janson
Interpretability studies often involve tracing the flow of information through machine learning models to identify specific model components that perform relevant computations for…
stat.ME2024
The -test: leveraging sparsity in the Gaussian linear model for improved inference
Souhardya Sengupta, Lucas Janson
We develop novel LASSO-based methods for coefficient testing and confidence interval construction in the Gaussian linear model with . Our methods' finite-sample validity is…