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Bo Waggoner
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Strategic classification from revealed preferences
J Dong, A Roth, Z Schutzman, B Waggoner, ZS Wu
Proceedings of the 2018 ACM Conference on Economics and Computation, 55-70, 2018
1932018
Decentralized and collaborative AI on blockchain
JD Harris, B Waggoner
2019 IEEE international conference on blockchain (Blockchain), 368-375, 2019
1822019
Output agreement mechanisms and common knowledge
B Waggoner, Y Chen
Proceedings of the Second AAAI Conference on Human Computation and Crowdsourcing, 2014
127*2014
A smoothed analysis of the greedy algorithm for the linear contextual bandit problem
S Kannan, JH Morgenstern, A Roth, B Waggoner, ZS Wu
Advances in neural information processing systems 31, 2018
1082018
Accuracy first: Selecting a differential privacy level for accuracy constrained erm
K Ligett, S Neel, A Roth, B Waggoner, SZ Wu
Advances in Neural Information Processing Systems 30, 2017
1072017
Local differential privacy for evolving data
M Joseph, A Roth, J Ullman, B Waggoner
Advances in Neural Information Processing Systems 31, 2018
1022018
Descending price optimally coordinates search
B Kleinberg, B Waggoner, EG Weyl
ACM Conference on Economics and Computation (EC-16), 2016
762016
Online stochastic matching with unequal probabilities
A Mehta, B Waggoner, M Zadimoghaddam
Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014
662014
Equal opportunity in online classification with partial feedback
Y Bechavod, K Ligett, A Roth, B Waggoner, SZ Wu
Advances in Neural Information Processing Systems 32, 2019
632019
Low-cost learning via active data procurement
J Abernethy, Y Chen, CJ Ho, B Waggoner
Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015
43*2015
An embedding framework for consistent polyhedral surrogates
J Finocchiaro, R Frongillo, B Waggoner
Advances in neural information processing systems 32, 2019
312019
Informational substitutes
Y Chen, B Waggoner
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
302016
Lp Testing and Learning of Discrete Distributions
B Waggoner
Proceedings of the 2015 Conference on Innovations in Theoretical Computer …, 2015
262015
Prophet inequalities with linear correlations and augmentations
N Immorlica, S Singla, B Waggoner
Proceedings of the 21st ACM Conference on Economics and Computation, 159-185, 2020
232020
A market framework for eliciting private data
B Waggoner, R Frongillo, JD Abernethy
Advances in neural information processing systems 28, 2015
232015
Designing markets for daily deals
Y Cai, M Mahdian, A Mehta, B Waggoner
Web and Internet Economics: 9th International Conference, WINE 2013 …, 2013
182013
Surrogate regret bounds for polyhedral losses
R Frongillo, B Waggoner
Advances in Neural Information Processing Systems 34, 21569-21580, 2021
172021
An axiomatic characterization of cfmms and equivalence to prediction markets
R Frongillo, M Papireddygari, B Waggoner
arXiv preprint arXiv:2302.00196, 2023
152023
Embedding dimension of polyhedral losses
J Finocchiaro, R Frongillo, B Waggoner
Conference on Learning Theory, 1558-1585, 2020
122020
Evaluating resistance to false-name manipulations in elections
B Waggoner, L Xia, V Conitzer
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1485-1491, 2012
122012
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