Bo Waggoner

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Papers (15)

1. Adaptive Liquidity in Prediction Markets via Online Learning cs.GT · 2026 · author #4
2. Decentralized & Collaborative AI on Blockchain cs.CR · 2019 · author #2
3. Multi-Observation Regression cs.LG · 2018 · author #4
4. Local Differential Privacy for Evolving Data cs.LG · 2018 · author #4
5. A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem cs.LG · 2018 · author #4
6. Strategic Classification from Revealed Preferences cs.LG · 2017 · author #4
7. An Axiomatic Study of Scoring Rule Markets cs.GT · 2017 · author #2
8. Multi-Observation Elicitation cs.LG · 2017 · author #4
9. Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM cs.LG · 2017 · author #4
10. Informational Substitutes cs.GT · 2017 · author #2
11. Bounded-Loss Private Prediction Markets cs.GT · 2017 · author #2
12. Descending Price Optimally Coordinates Search cs.GT · 2016 · author #2
13. Low-Cost Learning via Active Data Procurement cs.GT · 2015 · author #4
14. $\ell_p$ Testing and Learning of Discrete Distributions cs.DS · 2014 · author #1
15. Designing Markets for Daily Deals cs.GT · 2013 · author #4

Mentions

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Frequent Coauthors

• Rafael Frongillo 5 shared papers
• Aaron Roth 4 shared papers
• Tom Morgan 2 shared papers
• Yiling Chen 2 shared papers
• Zhiwei Steven Wu 2 shared papers
• Aranyak Mehta 1 shared papers
• Bao Nguyen 1 shared papers
• Chien-Ju Ho 1 shared papers
• E. Glen Weyl 1 shared papers
• Enrique Nueve 1 shared papers
• Jacob Abernethy 1 shared papers
• Jamie Morgenstern 1 shared papers
• Jinshuo Dong 1 shared papers
• Jonathan Ullman 1 shared papers
• Justin D. Harris 1 shared papers
• Katrina Ligett 1 shared papers
• Matthew Joseph 1 shared papers
• Mohammad Mahdian 1 shared papers
• Nishant A. Mehta 1 shared papers
• Robert Kleinberg 1 shared papers