Lucile Ter-Minassian

According to our database, Lucile Ter-Minassian authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Is merging worth it? Securely evaluating the information gain for causal dataset acquisition.

Jake Fawkes, Lucile Ter-Minassian, Desi Ivanova, Uri Shalit, Christopher C. Holmes

CoRR, 2024

Extracting Paragraphs from LLM Token Activations.

Nicholas Pochinkov, Angelo Benoit, Lovkush Agarwal, Zainab Ali Majid, Lucile Ter-Minassian

CoRR, 2024

Explainable AI for survival analysis: a median-SHAP approach.

Lucile Ter-Minassian, Sahra Ghalebikesabi, Karla Diaz-Ordaz, Chris C. Holmes

CoRR, 2024

Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation.

Lucile Ter-Minassian, Liran Szlak, Ehud Karavani, Chris C. Holmes, Yishai Shimoni

CoRR, 2024

2023

PWSHAP: A Path-Wise Explanation Model for Targeted Variables.

Lucile Ter-Minassian, Oscar Clivio, Karla DiazOrdaz, Robin J. Evans, Christopher C. Holmes

Proceedings of the International Conference on Machine Learning, 2023

2021

On Locality of Local Explanation Models.

Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz, Chris C. Holmes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021