| 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 | 264 | 2018 |
| Decentralized and collaborative AI on blockchain JD Harris, B Waggoner 2019 IEEE international conference on blockchain (Blockchain), 368-375, 2019 | 225 | 2019 |
| Output agreement mechanisms and common knowledge B Waggoner, Y Chen Proceedings of the Second AAAI Conference on Human Computation and Crowdsourcing, 2014 | 151* | 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 | 145 | 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 | 125 | 2017 |
| Local differential privacy for evolving data M Joseph, A Roth, J Ullman, B Waggoner Advances in Neural Information Processing Systems 31, 2018 | 122 | 2018 |
| Descending price optimally coordinates search B Kleinberg, B Waggoner, EG Weyl ACM Conference on Economics and Computation (EC-16), 2016 | 107 | 2016 |
| 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 | 79 | 2019 |
| Online stochastic matching with unequal probabilities A Mehta, B Waggoner, M Zadimoghaddam Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014 | 74 | 2014 |
| 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 | 50* | 2015 |
| Informational substitutes Y Chen, B Waggoner 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016 | 39 | 2016 |
| Prophet inequalities with linear correlations and augmentations N Immorlica, S Singla, B Waggoner ACM Transactions on Economics and Computation 11 (3-4), 1-29, 2023 | 37 | 2023 |
| An embedding framework for consistent polyhedral surrogates J Finocchiaro, R Frongillo, B Waggoner Advances in neural information processing systems 32, 2019 | 37 | 2019 |
| Lp Testing and Learning of Discrete Distributions B Waggoner Proceedings of the 2015 Conference on Innovations in Theoretical Computer …, 2015 | 31 | 2015 |
| A market framework for eliciting private data B Waggoner, R Frongillo, JD Abernethy Advances in neural information processing systems 28, 2015 | 27 | 2015 |
| An axiomatic characterization of cfmms and equivalence to prediction markets R Frongillo, M Papireddygari, B Waggoner arXiv preprint arXiv:2302.00196, 2023 | 26 | 2023 |
| Surrogate regret bounds for polyhedral losses R Frongillo, B Waggoner Advances in Neural Information Processing Systems 34, 21569-21580, 2021 | 22 | 2021 |
| Contracts with information acquisition, via scoring rules M Papireddygari, B Waggoner Proceedings of the 23rd ACM Conference on Economics and Computation, 703-704, 2022 | 21 | 2022 |
| Embedding dimension of polyhedral losses J Finocchiaro, R Frongillo, B Waggoner Conference on Learning Theory, 1558-1585, 2020 | 17 | 2020 |
| An embedding framework for the design and analysis of consistent polyhedral surrogates J Finocchiaro, RM Frongillo, B Waggoner Journal of Machine Learning Research 25 (63), 1-60, 2024 | 16 | 2024 |
