Debarghya Mukherjee

20 papers A* 7Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
CCFC: Core & Core-Full-Core Dual-Track Defense for LLM Jailbreak Protection.
CoRR
Jiaming Hu, Haoyu Wang, Debarghya Mukherjee, Ioannis Ch. Paschalidis
2025 J jnl
CINDES: Classification induced neural density estimator and simulator.
CoRR
Dehao Dai, Jianqing Fan, Yihong Gu, Debarghya Mukherjee
2025 J jnl
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation.
CoRR
Jiaming Hu, Debarghya Mukherjee, Ioannis Ch. Paschalidis
2025 J jnl
Transfer Learning Under High-Dimensional Network Convolutional Regression Model.
CoRR
Liyuan Wang, Jiachen Chen, Kathryn L. Lunetta, Danyang Huang, Huimin Cheng, Debarghya Mukherjee
2025 J jnl
Transfer Learning on Edge Connecting Probability Estimation under Graphon Model.
CoRR
Yuyao Wang, Yu-Hung Cheng, Debarghya Mukherjee, Huimin Cheng
2024 J jnl
On the estimation rate of Bayesian PINN for inverse problems.
CoRR
Yi Sun, Debarghya Mukherjee, Yves F. Atchadé
2024 A* conf
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift.
NeurIPS
Jiawei Ge, Debarghya Mukherjee, Jianqing Fan
2024 J jnl
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift.
CoRR
Jiawei Ge, Debarghya Mukherjee, Jianqing Fan
2024 J jnl
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification.
CoRR
Jiachen Chen, Danyang Huang, Liyuan Wang, Kathryn L. Lunetta, Debarghya Mukherjee, Huimin Cheng
2023 A* conf
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift.
ICLR
Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun
2022 A* conf
Domain Adaptation meets Individual Fairness. And they get along.
NeurIPS
Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun
2022 J jnl
Domain Adaptation meets Individual Fairness. And they get along.
CoRR
Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun
2022 J jnl
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift.
CoRR
Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun
2021 A* conf
Does enforcing fairness mitigate biases caused by subpopulation shift?
NeurIPS
Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun
2021 A* conf
Outlier-Robust Optimal Transport.
ICML
Debarghya Mukherjee, Aritra Guha, Justin M. Solomon, Yuekai Sun, Mikhail Yurochkin
2021 A* conf
Post-processing for Individual Fairness.
NeurIPS
Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin
2021 J jnl
Post-processing for Individual Fairness.
CoRR
Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin
2020 J jnl
There is no trade-off: enforcing fairness can improve accuracy.
CoRR
Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun
2020 A* conf
Two Simple Ways to Learn Individual Fairness Metrics from Data.
ICML
Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
2020 J jnl
Two Simple Ways to Learn Individual Fairness Metrics from Data.
CoRR
Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun