| 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 | 156 | 2019 |
| 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 | 1 | 2023 |
| Proper Losses for Discrete Generative Models D Kimpara, R Frongillo, B Waggoner 40th International Conference on Machine Learning, 2023 | 1 | 2023 |
| Differentially Private Synthetic Data Generation via GANs D Boob, R Cummings, D Kimpara, U Tantipongpipat, C Waites, ... UnlinkableDataChallenge/round/358/entry/20533, 2018 | 1 | 2018 |
| 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 |
Rachel CummingsColumbia UniversityVerified email at columbia.edu
