Rachel Cummings
Title
Cited by
Cited by
Year
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
7692019
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate.
W Chen, A Collins, R Cummings, T Ke, Z Liu, D Rincon, X Sun, Y Wang, ...
SIAM International Conference on Data Mining (SDM), 379-390, 2011
3792011
Adaptive learning with robust generalization guarantees
R Cummings, K Ligett, K Nissim, A Roth, ZS Wu
Conference on Learning Theory (COLT), 772-814, 2016
522016
Truthful linear regression
R Cummings, S Ioannidis, K Ligett
Conference on Learning Theory (COLT), 448-483, 2015
482015
Accuracy for sale: Aggregating data with a variance constraint
R Cummings, K Ligett, A Roth, ZS Wu, J Ziani
Conference on Innovations in Theoretical Computer Science (ITCS), 317-324, 2015
372015
Privacy and truthful equilibrium selection for aggregative games
R Cummings, M Kearns, A Roth, ZS Wu
Conference Web and Internet Economics (WINE), 286-299, 2015
332015
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
322019
Speed faults in computation by chemical reaction networks
HL Chen, R Cummings, D Doty, D Soloveichik
International Symposium on Distributed Computing (DISC), 16-30, 2014
272014
Differentially private change-point detection
R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang
arXiv preprint arXiv:1808.10056, 2018
212018
Speed faults in computation by chemical reaction networks
HL Chen, R Cummings, D Doty, D Soloveichik
Distributed Computing 30 (5), 373-390, 2017
202017
Advances and open problems in federated learning. arXiv 2019
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
192019
Differential privacy for growing databases
R Cummings, S Krehbiel, KA Lai, U Tantipongpipat
arXiv preprint arXiv:1803.06416, 2018
192018
Probability 1 computation with chemical reaction networks
R Cummings, D Doty, D Soloveichik
Natural Computing 15 (2), 245-261, 2016
192016
Online learning and profit maximization from revealed preferences
K Amin, R Cummings, L Dworkin, M Kearns, A Roth
Conference on Artificial Intelligence (AAAI), 770-776, 2015
192015
The Possibilities and Limitations of Private Prediction Markets
R Cummings, DM Pennock, JW Vaughan
Conference on Economics and Computation (EC), 143-160, 2016
172016
Individual sensitivity preprocessing for data privacy
R Cummings, D Durfee
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
162020
The strange case of privacy in equilibrium models
R Cummings, K Ligett, MM Pai, A Roth
Conference on Economics and Computation (EC), 659, 2016
162016
The empirical implications of privacy-aware choice
R Cummings, F Echenique, A Wierman
Operations Research 64 (1), 67-78, 2016
162016
Probability 1 computation with chemical reaction networks
R Cummings, D Doty, D Soloveichik
International Conference on DNA Computing and Molecular Programming (DNA), 37-52, 2014
152014
Algorithmic price discrimination
R Cummings, NR Devanur, Z Huang, X Wang
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
102020
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