Bo Waggoner

Most-cited papers

Strategic Classification from Revealed Preferences
Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner +1 more
2017ACM Conference on Economics and Computation224 citations Open access
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Output Agreement Mechanisms and Common Knowledge
Bo Waggoner, Yi-Ling Chen
2014AAAI Conference on Human Computation & Crowdsourcing118 citations Open access
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Decentralized and Collaborative AI on Blockchain
Justin D. Harris, Bo Waggoner
2019International Congress on Blockchain and Applications117 citations Open access
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Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
Katrina Ligett, Seth Neel, Aaron Roth, Bo Waggoner +1 more
2017Neural Information Processing Systems111 citations Open access
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Local Differential Privacy for Evolving Data
Matthew Joseph, Aaron Roth, Jonathan Ullman, Bo Waggoner
2018Neural Information Processing Systems101 citations Open access
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Descending Price Optimally Coordinates Search
Robert D. Kleinberg, Bo Waggoner, E. Weyl
2016ACM Conference on Economics and Computation86 citations Open access
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Equal Opportunity in Online Classification with Partial Feedback
Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner +1 more
2019Neural Information Processing Systems69 citations
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Online Stochastic Matching with Unequal Probabilities
Aranyak Mehta, Bo Waggoner, Morteza Zadimoghaddam
2014ACM-SIAM Symposium on Discrete Algorithms62 citations
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Low-Cost Learning via Active Data Procurement
J. Abernethy, Yi-Ling Chen, Chien-Ju Ho, Bo Waggoner
2015ACM Conference on Economics and Computation39 citations Open access
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Prophet Inequalities with Linear Correlations and Augmentations
N. Immorlica, Sahil Singla, Bo Waggoner
2020ACM Conference on Economics and Computation38 citations
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Informational Substitutes
Yi-Ling Chen, Bo Waggoner
2016IEEE Annual Symposium on Foundations of Computer Science35 citations Open access
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An Embedding Framework for Consistent Polyhedral Surrogates
Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2019Neural Information Processing Systems33 citations
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Lp Testing and Learning of Discrete Distributions
Bo Waggoner
2014Information Technology Convergence and Services33 citations Open access
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Information Elicitation sans Verification
Bo Waggoner, Yi-Ling Chen
201333 citations
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An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets
Rafael M. Frongillo, Maneesha Papireddygari, Bo Waggoner
2023Information Technology Convergence and Services30 citations Open access
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A Market Framework for Eliciting Private Data
Bo Waggoner, Rafael M. Frongillo, J. Abernethy
2015Neural Information Processing Systems20 citations
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An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates
Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2022Journal of machine learning research19 citations Open access
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Contracts with Information Acquisition, via Scoring Rules
Maneesha Papireddygari, Bo Waggoner
2022ACM Conference on Economics and Computation19 citations
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Surrogate Regret Bounds for Polyhedral Losses
Rafael M. Frongillo, Bo Waggoner
2021Neural Information Processing Systems18 citations
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Efficient Competitions and Online Learning with Strategic Forecasters
Rafael M. Frongillo, Robert Gomez, Anish Thilagar, Bo Waggoner
2021ACM Conference on Economics and Computation14 citations Open access
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Evaluating Resistance to False-Name Manipulations in Elections
Bo Waggoner, Lirong Xia, Vincent Conitzer
2012AAAI Conference on Artificial Intelligence14 citations Open access
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An Axiomatic Study of Scoring Rule Markets
Rafael M. Frongillo, Bo Waggoner
2017Information Technology Convergence and Services13 citations
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Designing Markets for Daily Deals
Yang Cai, Mohammad Mahdian, Aranyak Mehta, Bo Waggoner
2013Workshop on Internet and Network Economics13 citations Open access
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Embedding Dimension of Polyhedral Losses
Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2020Annual Conference Computational Learning Theory12 citations
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Agreement Implies Accuracy for Substitutable Signals
Rafael M. Frongillo, Eric Neyman, Bo Waggoner
2021ACM Conference on Economics and Computation11 citations Open access
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Active Information Acquisition for Linear Optimization
Shuran Zheng, Bo Waggoner, Yang Liu, Yi-Ling Chen
2017Conference on Uncertainty in Artificial Intelligence10 citations
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Multi-Observation Elicitation
Sebastian Casalaina-Martin, Rafael M. Frongillo, Tom Morgan, Bo Waggoner
2017Annual Conference Computational Learning Theory10 citations
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ℓp Testing and Learning of Discrete Distributions
Bo Waggoner
2014arXiv.org9 citations
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Channel Auctions
Eduardo M. Azevedo, David M. Pennock, Bo Waggoner, E. Weyl
2020Management Sciences8 citations Open access
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Toward a Characterization of Loss Functions for Distribution Learning
Nika Haghtalab, Cameron Musco, Bo Waggoner
2019Neural Information Processing Systems8 citations
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The Complexity of Stable Matchings under Substitutable Preferences
Yuan Deng, Debmalya Panigrahi, Bo Waggoner
2017AAAI Conference on Artificial Intelligence8 citations Open access
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Descending Price Coordinates Approximately Efficient Search
Robert D. Kleinberg, Bo Waggoner, E. Weyl
2016arXiv.org8 citations
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Fair Information Sharing for Treasure Hunting
Yi-Ling Chen, Kobbi Nissim, Bo Waggoner
2015AAAI Conference on Artificial Intelligence8 citations Open access
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Unifying lower bounds on prediction dimension of convex surrogates
Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2021Neural Information Processing Systems7 citations
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Computing Equilibria of Prediction Markets via Persuasion
Jerry Anunrojwong, Yi-Ling Chen, Bo Waggoner, Haifeng Xu
2019Workshop on Internet and Network Economics5 citations Open access
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Bounded-Loss Private Prediction Markets
Rafael M. Frongillo, Bo Waggoner
2017Neural Information Processing Systems5 citations
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Proper losses for discrete generative models
Rafael M. Frongillo, Dhamma Kimpara, Bo Waggoner
2022International Conference on Machine Learning4 citations Open access
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Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates
Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2021arXiv.org4 citations
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Linear Functions to the Extended Reals
Bo Waggoner
2021arXiv.org3 citations
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Preventing Arbitrage from Collusion When Eliciting Probabilities
Rupert Freeman, David M. Pennock, Dominik Peters, Bo Waggoner
2020AAAI Conference on Artificial Intelligence3 citations Open access
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An Online Appendix to 'Descending Price Optimally Coordinates Search'
Bobby Kleinberg, Bo Waggoner, E. Weyl
20163 citations
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Sample Complexity of Peer Prediction
Abdellah Aznag, Robin Bowers, Rachel Cummings, Jason D. Hartline +2 more
20262 citations
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Balls and Bins -- Simple Concentration Bounds
E. Schulte-Geers, Bo Waggoner
20222 citations
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High Welfare Matching Markets via Descending Price
Robin L. Bowers, Bo Waggoner
2022Workshop on Internet and Network Economics2 citations
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Matching Markets via Descending Price
Bo Waggoner, E. Weyl
2019Social Science Research Network2 citations
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Multi-Observation Regression
Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner
2018International Conference on Artificial Intelligence and Statistics2 citations
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A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem
Zhiyuan Liu, Hua-Zheng Wang, Bo Waggoner, Y. Liu +1 more
2020arXiv.org1 citations
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Non-parametric Binary regression in metric spaces with KL loss
Ariel Avital, K. Efremenko, A. Kontorovich, David Toplin +1 more
2020arXiv.org1 citations
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Contention Resolution Schemes
Bo Waggoner
20151 citations
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Non-parametric binary regression in metric spaces with logarithmic loss
Ariel Avital, K. Efremenko, A. Kontorovich, David Tolpin +1 more
2026Annals of Mathematics and Artificial Intelligence0 citations Open access
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