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Dhamma Kimpara
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On the compatibility of privacy and fairness
R Cummings, V Gupta, D Kimpara, J Morgenstern
Adjunct publication of the 27th conference on user modeling, adaptation and …, 2019
1622019
Evidential deep learning: Enhancing predictive uncertainty estimation for earth system science applications
JS Schreck, DJ Gagne II, C Becker, WE Chapman, K Elmore, G Gantos, ...
arXiv preprint arXiv:2309.13207, 2023
12023
Proper Losses for Discrete Generative Models
D Kimpara, R Frongillo, B Waggoner
40th International Conference on Machine Learning, 2023
12023
Differentially Private Synthetic Data Generation via GANs
D Boob, R Cummings, D Kimpara, U Tantipongpipat, C Waites, ...
UnlinkableDataChallenge/round/358/entry/20533, 2018
12018
Trading off Consistency and Dimensionality of Convex Surrogates for the Mode
E Nueve, B Waggoner, D Kimpara, J Finocchiaro
arXiv preprint arXiv:2402.10818, 2024
2024
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications
G Gantos, J Schreck, DJ Gagne, C Becker, WE Chapman, D Kimpara, ...
104th AMS Annual Meeting, 2024
2024
Explaining the Sources of Uncertainty in Machine Learning Winter Precipitation-Type Predictions
C Becker, DJ Gagne, J Schreck, G Gantos, T Martin, D Kimpara, ...
104th AMS Annual Meeting, 2024
2024
Private Synthetic Data Generation via GANs (Supporting PDF)
D Boob, R Cummings, D Kimpara, UT Tantipongpipat, C Waites, ...
2018
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Articles 1–8