Bo Waggoner

According to our database1, Bo Waggoner authored at least 40 papers between 2012 and 2021.

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Bibliography

2021
Linear Functions to the Extended Reals.
CoRR, 2021

Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates.
CoRR, 2021

Efficient Competitions and Online Learning with Strategic Forecasters.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

2020
Channel Auctions.
Manag. Sci., 2020

Local Differential Privacy for Evolving Data.
J. Priv. Confidentiality, 2020

Non-parametric Binary regression in metric spaces with KL loss.
CoRR, 2020

A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem.
CoRR, 2020

Prophet Inequalities with Linear Correlations and Augmentations.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Embedding Dimension of Polyhedral Losses.
Proceedings of the Conference on Learning Theory, 2020

Preventing Arbitrage from Collusion When Eliciting Probabilities.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM.
J. Priv. Confidentiality, 2019

Decentralized & Collaborative AI on Blockchain.
CoRR, 2019

Computing Equilibria of Prediction Markets via Persuasion.
Proceedings of the Web and Internet Economics - 15th International Conference, 2019

Toward a Characterization of Loss Functions for Distribution Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Embedding Framework for Consistent Polyhedral Surrogates.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Equal Opportunity in Online Classification with Partial Feedback.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Decentralized and Collaborative AI on Blockchain.
Proceedings of the IEEE International Conference on Blockchain, 2019

Multi-Observation Regression.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Active Information Acquisition for Linear Optimization.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Strategic Classification from Revealed Preferences.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Bounded-Loss Private Prediction Markets.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

An Axiomatic Study of Scoring Rule Markets.
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

2017
Intro to informational substitutes.
SIGecom Exch., 2017

Addendum to "A Market Framework for Eliciting Private Data".
CoRR, 2017

Multi-Observation Elicitation.
Proceedings of the 30th Conference on Learning Theory, 2017

The Complexity of Stable Matchings under Substitutable Preferences.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Descending Price Coordinates Approximately Efficient Search.
CoRR, 2016

Descending Price Optimally Coordinates Search.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Informational Substitutes.
Proceedings of the IEEE 57th Annual Symposium on Foundations of Computer Science, 2016

2015
Actively Purchasing Data for Learning.
CoRR, 2015

Online Stochastic Matching with Unequal Probabilities.
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Low-Cost Learning via Active Data Procurement.
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

A Market Framework for Eliciting Private Data.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

<i>L<sub>p</sub></i> Testing and Learning of Discrete Distributions.
Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015

Fair Information Sharing for Treasure Hunting.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
ℓ<sub>p</sub> Testing and Learning of Discrete Distributions.
CoRR, 2014

Output Agreement Mechanisms and Common Knowledge.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

2013
Designing Markets for Daily Deals.
Proceedings of the Web and Internet Economics - 9th International Conference, 2013

2012
Evaluating Resistance to False-Name Manipulations in Elections.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012


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