Two Simple Ways to Learn Individual Fairness Metrics from Data. - Debarghya Mukherjee; Mikhail Yurochkin; Moulinath Banerjee; Yuekai Sun (ICML, 2020)

There is no trade-off: enforcing fairness can improve accuracy. - Subha Maity; Debarghya Mukherjee; Mikhail Yurochkin; Yuekai Sun (CoRR, 2020)

Outlier-Robust Optimal Transport. - Debarghya Mukherjee; Aritra Guha; Justin M. Solomon; Yuekai Sun; Mikhail Yurochkin (ICML, 2021)

Does enforcing fairness mitigate biases caused by subpopulation shift? - Subha Maity; Debarghya Mukherjee; Mikhail Yurochkin; Yuekai Sun (NeurIPS, 2021)

Post-processing for Individual Fairness. - Felix Petersen; Debarghya Mukherjee; Yuekai Sun; Mikhail Yurochkin (NeurIPS, 2021)

Domain Adaptation meets Individual Fairness. And they get along. - Debarghya Mukherjee; Felix Petersen; Mikhail Yurochkin; Yuekai Sun (NeurIPS, 2022)

Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. - Subha Maity; Debarghya Mukherjee; Moulinath Banerjee; Yuekai Sun (ICLR, 2023)

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift. - Jiawei Ge 003; Debarghya Mukherjee; Jianqing Fan (NeurIPS, 2024)

Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification. - Jiachen Chen; Danyang Huang; Liyuan Wang; Kathryn L. Lunetta; Debarghya Mukherjee; Huimin Cheng (CoRR, 2024)

On the estimation rate of Bayesian PINN for inverse problems. - Yi Sun; Debarghya Mukherjee; Yves F. Atchadé (CoRR, 2024)

Transfer Learning Under High-Dimensional Network Convolutional Regression Model. - Liyuan Wang; Jiachen Chen; Kathryn L. Lunetta; Danyang Huang; Huimin Cheng; Debarghya Mukherjee (CoRR, 2025)

DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation. - Jiaming Hu; Debarghya Mukherjee; Ioannis Ch. Paschalidis (CoRR, 2025)