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Debarghya Mukherjee

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Trade-off Between Dependence and Complexity for Nonparametric Learning -- an Empirical Process Approach

Jan 17, 2024
Nabarun Deb, Debarghya Mukherjee

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UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation

Jun 28, 2023
Jianqing Fan, Jiawei Ge, Debarghya Mukherjee

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Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension

Feb 12, 2023
Sohom Bhattacharya, Jianqing Fan, Debarghya Mukherjee

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Predictor-corrector algorithms for stochastic optimization under gradual distribution shift

May 26, 2022
Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun

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Domain Adaptation meets Individual Fairness. And they get along

May 01, 2022
Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun

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Post-processing for Individual Fairness

Oct 26, 2021
Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin

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

Nov 06, 2020
Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun

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Two Simple Ways to Learn Individual Fairness Metrics from Data

Jun 19, 2020
Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun

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