Camille Olivia Little

According to our database, Camille Olivia Little authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

Fair Feature Importance Scores via Feature Occlusion and Permutation.

Camille Olivia Little, Madeline Navarro, Santiago Segarra, Genevera I. Allen

CoRR, February, 2026

2025

iLOCO: Distribution-Free Inference for Feature Interactions.

Camille Olivia Little, Lili Zheng, Genevera I. Allen

CoRR, February, 2025

Fair MP-BOOST: Fair and Interpretable Minipatch Boosting.

Camille Olivia Little, Genevera I. Allen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Fair Feature Importance Scores for Interpreting Decision Trees.

Camille Olivia Little, Debolina Halder Lina, Genevera I. Allen

Trans. Mach. Learn. Res., 2024

Data Augmentation via Subgroup Mixup for Improving Fairness.

Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates.

Camille Olivia Little, Debolina Halder Lina, Genevera I. Allen

CoRR, 2023

2022

To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier.

Camille Olivia Little, Michael Weylandt, Genevera I. Allen

CoRR, 2022