Research

Research Interests

High dimensional statistics
Application of statistics in economics and biology
Statistical machine learning (Algorithmic fairness)

Publications and Preprints

Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension (Submitted).

Sohom Bhattacharya, Jianqing Fan and Debarghya Mukherjee.

Predictor-corrector algorithms for stochastic optimization under gradual distribution shift ("Accepted" at ICLR, 2023 ).

Subha Maity*, Debarghya Mukherjee*, Moulinath Banerjee and Yuekai Sun. (* = equal contribution).

Domain adaptation meets Individual Fairness. And they get along ("Accepted" at NeurIPS, 2022 ).

Debarghya Mukherjee*, Felix Petersen*, Yuekai Sun and Mikhail Yurochkin. (* = equal contribution).

On robust learning in the canonical change point problem under heavy-tailed errors in finite and growing dimensions ("Accepted" at Electronic Journal of Statistics ).

Debarghya Mukherjee, Moulinath Banerjee, Ya'acov Ritov.

Post-processing for Individual Fairness ("Accepted" at NeurIPS, 2021 ).

Felix Petersen*, Debarghya Mukherjee*, Yuekai Sun, Mikhail Yurochkin. (* = equal contribution).

Regression discontinuity design: estimating the treatment effect with standard parametric rate (submitted).

Debarghya Mukherjee, Moulinath Banerjee, Ya'acov Ritov.

Outlier robust optimal transport ("Accepted" at ICML, 2021 ).

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

There is no trade-off: enforcing fairness can improve accuracy ("Accepted" at NeurIPS, 2021 ).

Subha Maity*, Debarghya Mukherjee*, Yuekai Sun and Mikhail Yurochkin. (* = equal contribution).

Markovian And Non-Markovian Processes with Active Decision Making Strategies For Addressing The COVID-19 Pandemic (Submitted).

Hamid Eftekhari*, Debarghya Mukherjee*, Moulinath Banerjee and Ya'acov Ritov. (* = equal contribution).

Two Simple Ways to Learn Individual Fairness Metrics from Data ("Accepted" at ICML, 2020 ).

Debarghya Mukherjee*, Mikhail Yurochkin*, Moulinath Banerjee and Yuekai Sun. (* = equal contribution).

Asymptotic normality of a linear threshold estimator in fixed dimension with near-optimal rate ("Accepted" at Electronic Journal of Statistics ).

Debarghya Mukherjee, Moulinath Banerjee and Ya'acov Ritov.

Optimal linear discriminators for the discrete choice model in growing dimensions ("Accepted" at Annals of Statistics ).

Debarghya Mukherjee, Moulinath Banerjee and Ya'acov Ritov.