| Decentralized and collaborative AI on blockchain JD Harris, B Waggoner 2019 IEEE international conference on blockchain (Blockchain), 368-375, 2019 | 156 | 2019 |
| 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 | 153 | 2018 |
| Output agreement mechanisms and common knowledge B Waggoner, Y Chen Proceedings of the Second AAAI Conference on Human Computation and Crowdsourcing, 2014 | 116* | 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 | 97 | 2018 |
| 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 | 92 | 2017 |
| Local differential privacy for evolving data M Joseph, A Roth, J Ullman, B Waggoner Advances in Neural Information Processing Systems 31, 2018 | 91 | 2018 |
| Descending price optimally coordinates search B Kleinberg, B Waggoner, EG Weyl ACM Conference on Economics and Computation (EC-16), 2016 | 69* | 2016 |
| Online stochastic matching with unequal probabilities A Mehta, B Waggoner, M Zadimoghaddam Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014 | 58 | 2014 |
| 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 | 57 | 2019 |
| 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 | 41 | 2015 |
| Informational substitutes Y Chen, B Waggoner 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016 | 29 | 2016 |
| Lp Testing and Learning of Discrete Distributions B Waggoner Proceedings of the 2015 Conference on Innovations in Theoretical Computer …, 2015 | 24 | 2015 |
| A market framework for eliciting private data B Waggoner, R Frongillo, JD Abernethy Advances in Neural Information Processing Systems 28, 2015 | 22 | 2015 |
| An embedding framework for consistent polyhedral surrogates J Finocchiaro, R Frongillo, B Waggoner Advances in neural information processing systems 32, 2019 | 20 | 2019 |
| 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 | 16 | 2020 |
| Designing markets for daily deals Y Cai, M Mahdian, A Mehta, B Waggoner Web and Internet Economics: 9th International Conference, WINE 2013 …, 2013 | 15 | 2013 |
| Surrogate regret bounds for polyhedral losses R Frongillo, B Waggoner Advances in Neural Information Processing Systems 34, 21569-21580, 2021 | 13 | 2021 |
| 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 | 11 | 2012 |
| Embedding dimension of polyhedral losses J Finocchiaro, R Frongillo, B Waggoner Conference on Learning Theory, 1558-1585, 2020 | 10 | 2020 |
| Active information acquisition for linear optimization S Zheng, B Waggoner, Y Liu, Y Chen arXiv preprint arXiv:1709.10061, 2017 | 10 | 2017 |
