Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations. - Zhun Deng; Frances Ding; Cynthia Dwork; Rachel Hong; Giovanni Parmigiani; Prasad Patil; Pragya Sur (CoRR, 2020)

Grounding Representation Similarity Through Statistical Testing. - Frances Ding; Jean-Stanislas Denain; Jacob Steinhardt (NeurIPS, 2021)

Retiring Adult: New Datasets for Fair Machine Learning. - Frances Ding; Moritz Hardt; John Miller 001; Ludwig Schmidt (NeurIPS, 2021)

Grounding Representation Similarity with Statistical Testing. - Frances Ding; Jean-Stanislas Denain; Jacob Steinhardt (CoRR, 2021)

Anticipating Performativity by Predicting from Predictions. - Celestine Mendler-Dünner; Frances Ding; Yixin Wang 002 (NeurIPS, 2022)

Predicting from Predictions. - Celestine Mendler-Dünner; Frances Ding; Yixin Wang 002 (CoRR, 2022)

Re-examining Metrics for Success in Machine Learning, from Fairness and Interpretability to Protein Design - Frances Ding (2024)