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Debarghya Mukherjee
Debarghya Mukherjee
Assistant Professor, Boston University
Geverifieerd e-mailadres voor umich.edu - Homepage
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Two simple ways to learn individual fairness metrics from data
D Mukherjee, M Yurochkin, M Banerjee, Y Sun
International Conference on Machine Learning, 7097-7107, 2020
1152020
Post-processing for individual fairness
F Petersen, D Mukherjee, Y Sun, M Yurochkin
Advances in Neural Information Processing Systems 34, 25944-25955, 2021
952021
Outlier-robust optimal transport
D Mukherjee, A Guha, JM Solomon, Y Sun, M Yurochkin
International Conference on Machine Learning, 7850-7860, 2021
672021
Does enforcing fairness mitigate biases caused by subpopulation shift?
S Maity, D Mukherjee, M Yurochkin, Y Sun
Advances in Neural Information Processing Systems 34, 25773-25784, 2021
302021
Domain adaptation meets individual fairness. and they get along.
D Mukherjee, F Petersen, M Yurochkin, Y Sun
Advances in Neural Information Processing Systems 35, 28902-28913, 2022
222022
Optimal linear discriminators for the discrete choice model in growing dimensions
D Mukherjee, M Banerjee, Y Ritov
The Annals of Statistics 49 (6), 3324-3357, 2021
13*2021
There is no trade-off: enforcing fairness can improve accuracy
S Maity, D Mukherjee, M Yurochkin, Y Sun
stat 1050, 6, 2020
112020
Markovian and non-Markovian processes with active decision making strategies For addressing the COVID-19 pandemic
H Eftekhari, D Mukherjee, M Banerjee, Y Ritov
arXiv preprint arXiv:2008.00375, 2020
82020
Asymptotic normality of a change plane estimator in fixed dimension with near-optimal rate
D Mukherjee, M Banerjee, D Mukherjee, Y Ritov
Electronic Journal of Statistics 17 (2), 2289-2316, 2023
7*2023
Deep neural networks for nonparametric interaction models with diverging dimension
S Bhattacharya, J Fan, D Mukherjee
arXiv preprint arXiv:2302.05851, 2023
62023
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
J Fan, J Ge, D Mukherjee
arXiv preprint arXiv:2306.16549, 2023
52023
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
S Maity, D Mukherjee, M Banerjee, Y Sun
arXiv preprint arXiv:2205.13575, 2022
52022
On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions
D Mukherjee, M Banerjee, Y Ritov
Electronic Journal of Statistics 16 (1), 1153-1252, 2022
42022
Trade-off Between Dependence and Complexity for Nonparametric Learning--an Empirical Process Approach
N Deb, D Mukherjee
arXiv preprint arXiv:2401.08978, 2024
22024
Learning Mahalanobis Distance Metrics from Data
M Yurochkin, D Mukherjee, M Banerjee, Y Sun, S Upadhyay
US Patent App. 17/345,730, 2022
12022
Estimation of a score-explained non-randomized treatment effect in fixed and high dimensions
D Mukherjee, M Banerjee, Y Ritov
arXiv preprint arXiv:2102.11229, 2021
12021
On the estimation rate of Bayesian PINN for inverse problems
Y Sun, D Mukherjee, Y Atchade
arXiv preprint arXiv:2406.14808, 2024
2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
J Chen, D Huang, L Wang, KL Lunetta, D Mukherjee, H Cheng
arXiv preprint arXiv:2405.16672, 2024
2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
J Ge, D Mukherjee, J Fan
arXiv preprint arXiv:2405.10302, 2024
2024
Minimax Optimal rates of convergence in the shuffled regression, unlinked regression, and deconvolution under vanishing noise
C Durot, D Mukherjee
arXiv preprint arXiv:2404.09306, 2024
2024
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Artikelen 1–20