
Rachel Cummings
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2020
- [j5]Rachel Cummings, David M. Pennock, Jennifer Wortman Vaughan:
The Possibilities and Limitations of Private Prediction Markets. ACM Trans. Economics and Comput. 8(3): 15:1-15:24 (2020) - [c21]Rachel Cummings, Michael Hay:
TPDP'20: 6th Workshop on Theory and Practice of Differential Privacy. CCS 2020: 2153-2154 - [c20]Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang:
Privately detecting changes in unknown distributions. ICML 2020: 2227-2237 - [c19]Rachel Cummings, David Durfee:
Individual Sensitivity Preprocessing for Data Privacy. SODA 2020: 528-547 - [c18]Rachel Cummings, Nikhil R. Devanur, Zhiyi Huang, Xiangning Wang:
Algorithmic Price Discrimination. SODA 2020: 2432-2451 - [i20]Wanrong Zhang, Gautam Kamath, Rachel Cummings:
PAPRIKA: Private Online False Discovery Rate Control. CoRR abs/2002.12321 (2020) - [i19]Qiaomei Li, Rachel Cummings, Yonatan Mintz:
Locally Interpretable Predictions of Parkinson's Disease Progression. CoRR abs/2003.09466 (2020) - [i18]Wanrong Zhang, Olga Ohrimenko, Rachel Cummings:
Attribute Privacy: Framework and Mechanisms. CoRR abs/2009.04013 (2020) - [i17]Sebastian Perez-Salazar, Rachel Cummings:
Differentially Private Online Submodular Maximization. CoRR abs/2010.12816 (2020)
2010 – 2019
- 2019
- [c17]Adrian Rivera Cardoso, Rachel Cummings:
Differentially Private Online Submodular Minimization. AISTATS 2019: 1650-1658 - [c16]Jacob D. Abernethy, Rachel Cummings, Bhuvesh Kumar, Sam Taggart, Jamie H. Morgenstern:
Learning Auctions with Robust Incentive Guarantees. NeurIPS 2019: 11587-11597 - [c15]Rachel Cummings, Varun Gupta, Dhamma Kimpara, Jamie Morgenstern:
On the Compatibility of Privacy and Fairness. UMAP (Adjunct Publication) 2019: 309-315 - [i16]Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang:
Privately detecting changes in unknown distributions. CoRR abs/1910.01327 (2019) - [i15]Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings:
Differentially Private Mixed-Type Data Generation For Unsupervised Learning. CoRR abs/1912.03250 (2019) - [i14]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - [i13]Rachel Cummings, Nikhil R. Devanur, Zhiyi Huang, Xiangning Wang:
Algorithmic Price Discrimination. CoRR abs/1912.05770 (2019) - 2018
- [c14]Rachel Cummings, Sara Krehbiel, Kevin A. Lai, Uthaipon Tao Tantipongpipat:
Differential Privacy for Growing Databases. NeurIPS 2018: 8878-8887 - [c13]Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang:
Differentially Private Change-Point Detection. NeurIPS 2018: 10848-10857 - [i12]Rachel Cummings, Sara Krehbiel, Kevin A. Lai, Uthaipon Tantipongpipat:
Differential Privacy for Growing Databases. CoRR abs/1803.06416 (2018) - [i11]Rachel Cummings, David Durfee:
Individual Sensitivity Preprocessing for Data Privacy. CoRR abs/1804.08645 (2018) - [i10]Adrian Rivera Cardoso, Rachel Cummings:
Differentially Private Online Submodular Optimization. CoRR abs/1807.02290 (2018) - [i9]Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang:
Differentially Private Change-Point Detection. CoRR abs/1808.10056 (2018) - 2017
- [j4]Rachel Cummings:
Differential privacy as a tool for truthfulness in games. XRDS 24(1): 34-37 (2017) - [j3]Ho-Lin Chen
, Rachel Cummings, David Doty
, David Soloveichik:
Speed faults in computation by chemical reaction networks. Distributed Comput. 30(5): 373-390 (2017) - 2016
- [j2]Rachel Cummings, Federico Echenique
, Adam Wierman:
The Empirical Implications of Privacy-Aware Choice. Oper. Res. 64(1): 67-78 (2016) - [j1]Rachel Cummings, David Doty
, David Soloveichik:
Probability 1 computation with chemical reaction networks. Nat. Comput. 15(2): 245-261 (2016) - [c12]Rachel Cummings, Katrina Ligett, Kobbi Nissim, Aaron Roth, Zhiwei Steven Wu:
Adaptive Learning with Robust Generalization Guarantees. COLT 2016: 772-814 - [c11]Rachel Cummings, Katrina Ligett, Jaikumar Radhakrishnan, Aaron Roth, Zhiwei Steven Wu:
Coordination Complexity: Small Information Coordinating Large Populations. ITCS 2016: 281-290 - [c10]Rachel Cummings, David M. Pennock, Jennifer Wortman Vaughan:
The Possibilities and Limitations of Private Prediction Markets. EC 2016: 143-160 - [c9]Rachel Cummings, Katrina Ligett, Mallesh M. Pai, Aaron Roth:
The Strange Case of Privacy in Equilibrium Models. EC 2016: 659 - [i8]Rachel Cummings, David M. Pennock, Jennifer Wortman Vaughan:
The Possibilities and Limitations of Private Prediction Markets. CoRR abs/1602.07362 (2016) - [i7]Rachel Cummings, Katrina Ligett, Kobbi Nissim, Aaron Roth, Zhiwei Steven Wu:
Adaptive Learning with Robust Generalization Guarantees. CoRR abs/1602.07726 (2016) - 2015
- [c8]Kareem Amin, Rachel Cummings, Lili Dworkin, Michael J. Kearns, Aaron Roth:
Online Learning and Profit Maximization from Revealed Preferences. AAAI 2015: 770-776 - [c7]Rachel Cummings, Stratis Ioannidis, Katrina Ligett:
Truthful Linear Regression. COLT 2015: 448-483 - [c6]Rachel Cummings, Katrina Ligett, Aaron Roth, Zhiwei Steven Wu, Juba Ziani:
Accuracy for Sale: Aggregating Data with a Variance Constraint. ITCS 2015: 317-324 - [c5]Rachel Cummings, Michael J. Kearns, Aaron Roth, Zhiwei Steven Wu:
Privacy and Truthful Equilibrium Selection for Aggregative Games. WINE 2015: 286-299 - [i6]Rachel Cummings, Stratis Ioannidis, Katrina Ligett:
Truthful Linear Regression. CoRR abs/1506.03489 (2015) - [i5]Rachel Cummings, Katrina Ligett, Mallesh M. Pai, Aaron Roth:
The Strange Case of Privacy in Equilibrium Models. CoRR abs/1508.03080 (2015) - [i4]Rachel Cummings, Katrina Ligett, Jaikumar Radhakrishnan, Aaron Roth, Zhiwei Steven Wu:
Coordination Complexity: Small Information Coordinating Large Populations. CoRR abs/1508.03735 (2015) - 2014
- [c4]Rachel Cummings, David Doty, David Soloveichik:
Probability 1 Computation with Chemical Reaction Networks. DNA 2014: 37-52 - [c3]Rachel Cummings, Federico Echenique
, Adam Wierman:
The empirical implications of privacy-aware choice. EC 2014: 969 - [c2]Ho-Lin Chen, Rachel Cummings, David Doty, David Soloveichik:
Speed Faults in Computation by Chemical Reaction Networks. DISC 2014: 16-30 - [i3]Rachel Cummings, Federico Echenique, Adam Wierman:
The Empirical Implications of Privacy-Aware Choice. CoRR abs/1401.0336 (2014) - [i2]Kareem Amin, Rachel Cummings, Lili Dworkin, Michael J. Kearns, Aaron Roth:
Online Learning and Profit Maximization from Revealed Preferences. CoRR abs/1407.7294 (2014) - [i1]Rachel Cummings, Michael J. Kearns, Aaron Roth, Zhiwei Steven Wu:
Privacy and Truthful Equilibrium Selection for Aggregative Games. CoRR abs/1407.7740 (2014) - 2011
- [c1]Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincón, Xiaorui Sun, Yajun Wang, Wei Wei, Yifei Yuan:
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate. SDM 2011: 379-390
Coauthor Index

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Tweets on dblp homepage
Show tweets from on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2020-12-16 23:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint