Sampling random spanning trees faster than matrix multiplication D Durfee, R Kyng, J Peebles, AB Rao, S Sachdeva
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
83 2017 Practical differentially private top-k selection with pay-what-you-get composition D Durfee, RM Rogers
Advances in Neural Information Processing Systems 32, 2019
80 2019 On fully dynamic graph sparsifiers I Abraham, D Durfee, I Koutis, S Krinninger, R Peng
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
76 2016 LinkedIn's Audience Engagements API: A privacy preserving data analytics system at scale R Rogers, S Subramaniam, S Peng, D Durfee, S Lee, SK Kancha, ...
arXiv preprint arXiv:2002.05839, 2020
71 2020 Optimal differential privacy composition for exponential mechanisms J Dong, D Durfee, R Rogers
International Conference on Machine Learning, 2597-2606, 2020
54 2020 Fully dynamic spectral vertex sparsifiers and applications D Durfee, Y Gao, G Goranci, R Peng
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019
43 2019 Determinant-preserving sparsification of SDDM matrices with applications to counting and sampling spanning trees D Durfee, J Peebles, R Peng, AB Rao
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
36 2017 On the complexity of nash equilibria in anonymous games X Chen, D Durfee, A Orfanou
Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015
34 2015 Individual sensitivity preprocessing for data privacy R Cummings, D Durfee
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
29 2020 Parallel batch-dynamic graphs: Algorithms and lower bounds L Dhulipala, D Durfee, J Kulkarni, R Peng, S Sawlani, X Sun
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
28 2020 Regression using Lewis Weights Preconditioning and Stochastic Gradient DescentD Durfee, KA Lai, S Sawlani
Conference On Learning Theory, 1626-1656, 2018
17 2018 Fully dynamic effective resistances D Durfee, Y Gao, G Goranci, R Peng
arXiv preprint arXiv:1804.04038, 2018
9 2018 mSAM: Micro-batch-averaged sharpness-aware minimization K Behdin, Q Song, A Gupta, S Keerthi, A Acharya, B Ocejo, G Dexter, ...
arXiv preprint arXiv:2302.09693, 2023
6 2023 Improved deep neural network generalization using m-sharpness-aware minimization K Behdin, Q Song, A Gupta, D Durfee, A Acharya, S Keerthi, R Mazumder
arXiv preprint arXiv:2212.04343, 2022
5 2022 A privacy preserving data analytics system at scale R Rogers, S Subramaniam, S Peng, D Durfee, S Lee, SK Kancha, ...
Linkedin’s audience engagements api, 2020
5 2020 Determinant-preserving sparsification of SDDM matrices D Durfee, J Peebles, R Peng, AB Rao
SIAM Journal on Computing 49 (4), FOCS17-350-FOCS17-408, 2020
5 2020 Nearly tight bounds for sandpile transience on the grid D Durfee, M Fahrbach, Y Gao, T Xiao
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018
5 2018 One-shot dp top-k mechanisms. DifferentialPrivacy. org, 08 2021 D Durfee, R Rogers
5 Parallel batch-dynamic graphs: Algorithms and lower bounds D Durfee, L Dhulipala, J Kulkarni, R Peng, S Sawlani, X Sun
arXiv preprint arXiv:1908.01956, 2019
4 2019 On fully dynamic graph sparsifiers. CoRR, abs/1604.02094, 2016 I Abraham, D Durfee, I Koutis, S Krinninger, R Peng
4 2016