Debarghya Mukherjee

According to our database, Debarghya Mukherjee authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

2023

Predictor-corrector algorithms for stochastic optimization under gradual distribution shift.

Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Domain Adaptation meets Individual Fairness. And they get along.

Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Post-processing for Individual Fairness.

Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin

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

Does enforcing fairness mitigate biases caused by subpopulation shift?

Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun

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

Outlier-Robust Optimal Transport.

Debarghya Mukherjee, Aritra Guha, Justin M. Solomon, Yuekai Sun, Mikhail Yurochkin

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

There is no trade-off: enforcing fairness can improve accuracy.

Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun

CoRR, 2020

Two Simple Ways to Learn Individual Fairness Metrics from Data.

Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun

Proceedings of the 37th International Conference on Machine Learning, 2020