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Elisa Nguyen

2 accepted papers

2025

Better Training Data Attribution via Better Inverse Hessian-Vector Products

NeurIPS 2025poster

Training data attribution (TDA) provides insights into which training data is responsible for a learned model behavior. Gradient-based TDA methods such as influence functions and unrolled differentiation both involve a computation that resembles an inverse Hessian-vector product (iHVP), which is dif…

Cited by 0SourceScholar
2023

A Bayesian Approach To Analysing Training Data Attribution In Deep Learning

NeurIPS 2023poster

Training data attribution (TDA) techniques find influential training data for the model's prediction on the test data of interest. They approximate the impact of down- or up-weighting a particular training sample. While conceptually useful, they are hardly applicable to deep models in practice, part…