Rachel Cummings

Cited by

	All	Since 2016
Citations	1117	965
h-index	14	13
i10-index	18	18

540

270

135

405

201120122013201420152016201720182019202020216 17 25 34 65 89 88 106 136 527 11

Co-authors

Aaron RothProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Katrina LigettHebrew UniversityVerified email at mail.huji.ac.il
Wei Chen （陈卫）Microsoft ResearchVerified email at microsoft.com
Wei WeiSenior Research Scientist at GoogleVerified email at cs.cmu.edu
Zhenming LiuCollege of William and MaryVerified email at cs.wm.edu
Yifei YuanupennVerified email at cis.upenn.edu
Yajun WangMicrosoft CorporationVerified email at microsoft.com
David Rincón RiveraDept. of Network Engineering, Universitat Politècnica de Catalunya (UPC - BarcelonaTech)Verified email at upc.edu
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
David DotyAssistant Professor of Computer Science, University of California, DavisVerified email at ucdavis.edu
David SoloveichikUniversity of Texas at AustinVerified email at utexas.edu
T. Tony KeThe Chinese University of Hong KongVerified email at cuhk.edu.hk
Xiaorui SunUniversity of Illinois at ChicagoVerified email at uic.edu
Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Ho-Lin ChenNational Taiwan UniversityVerified email at ntu.edu.tw
Stratis IoannidisNortheastern UniversityVerified email at neu.edu
Kobbi NissimDept. of Computer Science (Georgetown) & Center for Research on Computation and Society (Harvard)Verified email at georgetown.edu
David M PennockProfessor, Rutgers UniversityVerified email at dimacs.rutgers.edu
Adrian Rivera CardosoLinkedInVerified email at linkedin.com
Juba ZianiUniversity of Pennsylvania -- Warren Center for Network and Data SciencesVerified email at seas.upenn.edu

Rachel Cummings

Georgia Institute of Technology

Verified email at gatech.edu - Homepage

Data privacy Machine learning Algorithmic economics


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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	378	2019
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	349	2011
Adaptive learning with robust generalization guarantees R Cummings, K Ligett, K Nissim, A Roth, ZS Wu Conference on Learning Theory (COLT), 772-814, 2016	49	2016
Truthful linear regression R Cummings, S Ioannidis, K Ligett Conference on Learning Theory (COLT), 448-483, 2015	40	2015
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	29	2015
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	28	2015
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	26	2014
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	22	2019
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	20	2015
Speed faults in computation by chemical reaction networks HL Chen, R Cummings, D Doty, D Soloveichik Distributed Computing 30 (5), 373-390, 2017	18	2017
Probability 1 computation with chemical reaction networks R Cummings, D Doty, D Soloveichik Natural Computing 15 (2), 245-261, 2016	17	2016
The Possibilities and Limitations of Private Prediction Markets R Cummings, DM Pennock, JW Vaughan Conference on Economics and Computation (EC), 143-160, 2016	16	2016
Differential privacy for growing databases R Cummings, S Krehbiel, KA Lai, U Tantipongpipat Advances in Neural Information Processing Systems, 8864-8873, 2018	15	2018
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	15	2014
The empirical implications of privacy-aware choice R Cummings, F Echenique, A Wierman Operations Research 64 (1), 67-78, 2016	14	2016
Individual sensitivity preprocessing for data privacy R Cummings, D Durfee Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020	12	2020
Differentially private change-point detection R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang Advances in neural information processing systems, 10825-10834, 2018	12	2018
The strange case of privacy in equilibrium models R Cummings, K Ligett, MM Pai, A Roth Conference on Economics and Computation (EC), 659, 2016	12	2016
Algorithmic price discrimination R Cummings, NR Devanur, Z Huang, X Wang Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020	9	2020
Differentially Private Mixed-Type Data Generation For Unsupervised Learning U Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings arXiv preprint arXiv:1912.03250, 2019	6	2019

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