Chi-square Information for Invariant Learning
Prasanna Sattigeri, Soumya Ghosh, et al.
ICML 2020
Existing datasets available to address crucial prob- lems, such as child mortality and family plan- ning discontinuation in developing countries, are not ample for data-driven approaches. This is partly due to disjoint data collection efforts em- ployed across locations, times, and variations of modalities. On the other hand, state-of-the-art methods for small data problem are confined to image modalities. In this work, we proposed a data-level linkage of disjoint surveys across Sub- Saharan African countries to improve prediction performance of neonatal death and provide cross- domain explainability.
Prasanna Sattigeri, Soumya Ghosh, et al.
ICML 2020
Raúl Fernández Díaz, Lam Thanh Hoang, et al.
IRB-AI-DD 2025
Federico Zipoli, Carlo Baldassari, et al.
npj Computational Materials
Mengyang Gu, Debarun Bhattacharjya, et al.
AAAI 2020