default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBo Waggoner
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j5]Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner:
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates. J. Mach. Learn. Res. 25: 63:1-63:60 (2024)- [c37]Rafael M. Frongillo
, Maneesha Papireddygari, Bo Waggoner:
An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets. ITCS 2024: 51:1-51:21 - [i36]Enrique B. Nueve, Bo Waggoner, Dhamma Kimpara, Jessie Finocchiaro:
Trading off Consistency and Dimensionality of Convex Surrogates for the Mode. CoRR abs/2402.10818 (2024) - [i35]Mary Monroe, Bo Waggoner:
Public Projects with Preferences and Predictions. CoRR abs/2403.01042 (2024) - [i34]Robin Bowers, Bo Waggoner:
Matching with Nested and Bundled Pandora Boxes. CoRR abs/2406.08711 (2024) - 2023
- [c36]Dhamma Kimpara, Rafael M. Frongillo, Bo Waggoner:
Proper Losses for Discrete Generative Models. ICML 2023: 17015-17040 - [c35]Rafael M. Frongillo, Eric Neyman, Bo Waggoner:
Agreement Implies Accuracy for Substitutable Signals. EC 2023: 702-733 - [c34]Robin Bowers, Bo Waggoner:
High-Welfare Matching Markets via Descending Price. WINE 2023: 59-76 - [i33]Rafael M. Frongillo, Maneesha Papireddygari, Bo Waggoner:
An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets. CoRR abs/2302.00196 (2023) - [i32]Rafael M. Frongillo, Manuel E. Lladser, Anish Thilagar, Bo Waggoner:
Forecasting Competitions with Correlated Events. CoRR abs/2303.13793 (2023) - 2022
- [c33]Maneesha Papireddygari, Bo Waggoner:
Contracts with Information Acquisition, via Scoring Rules. EC 2022: 703-704 - [i31]Robin Bowers, Bo Waggoner:
High Welfare Matching Markets via Descending Price. CoRR abs/2203.02023 (2022) - [i30]Maneesha Papireddygari, Bo Waggoner:
Contracts with Information Acquisition, via Scoring Rules. CoRR abs/2204.01773 (2022) - [i29]Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner:
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates. CoRR abs/2206.14707 (2022) - [i28]Rafael M. Frongillo, Dhamma Kimpara, Bo Waggoner:
Proper losses for discrete generative models. CoRR abs/2211.03761 (2022) - 2021
- [c32]Rupert Freeman, David M. Pennock, Daniel M. Reeves, David M. Rothschild, Bo Waggoner:
Towards a Theory of Confidence in Market-Based Predictions. ISIPTA 2021: 365-368 - [c31]Rafael M. Frongillo, Bo Waggoner:
Surrogate Regret Bounds for Polyhedral Losses. NeurIPS 2021: 21569-21580 - [c30]Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner:
Unifying lower bounds on prediction dimension of convex surrogates. NeurIPS 2021: 22046-22057 - [c29]Rafael M. Frongillo, Robert Gomez, Anish Thilagar, Bo Waggoner:
Efficient Competitions and Online Learning with Strategic Forecasters. EC 2021: 479-496 - [i27]Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner:
Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates. CoRR abs/2102.08218 (2021) - [i26]Rafael M. Frongillo, Robert Gomez, Anish Thilagar, Bo Waggoner:
Efficient Competitions and Online Learning with Strategic Forecasters. CoRR abs/2102.08358 (2021) - [i25]Bo Waggoner:
Linear Functions to the Extended Reals. CoRR abs/2102.09552 (2021) - [i24]Rafael M. Frongillo, Bo Waggoner:
Surrogate Regret Bounds for Polyhedral Losses. CoRR abs/2110.14031 (2021) - [i23]Rafael M. Frongillo, Eric Neyman, Bo Waggoner:
Agreement Implies Accuracy for Substitutable Signals. CoRR abs/2111.03278 (2021) - 2020
- [j4]Matthew Joseph, Aaron Roth, Jonathan R. Ullman, Bo Waggoner:
Local Differential Privacy for Evolving Data. J. Priv. Confidentiality 10(1) (2020) - [j3]Eduardo M. Azevedo, David M. Pennock, Bo Waggoner, E. Glen Weyl:
Channel Auctions. Manag. Sci. 66(5): 2075-2082 (2020) - [c28]Rupert Freeman, David M. Pennock, Dominik Peters, Bo Waggoner:
Preventing Arbitrage from Collusion When Eliciting Probabilities. AAAI 2020: 1958-1965 - [c27]Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner:
Embedding Dimension of Polyhedral Losses. COLT 2020: 1558-1585 - [c26]Nicole Immorlica, Sahil Singla, Bo Waggoner:
Prophet Inequalities with Linear Correlations and Augmentations. EC 2020: 159-185 - [i22]Nicole Immorlica, Sahil Singla, Bo Waggoner:
Prophet Inequalities with Linear Correlations and Augmentations. CoRR abs/2001.10600 (2020) - [i21]Zhiyuan Liu, Huazheng Wang, Bo Waggoner, Youjian Liu, Lijun Chen:
A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem. CoRR abs/2007.08561 (2020) - [i20]Jerry Anunrojwong, Yiling Chen, Bo Waggoner, Haifeng Xu:
Computing Equilibria of Prediction Markets via Persuasion. CoRR abs/2009.03607 (2020) - [i19]Ariel Avital, Klim Efremenko, Aryeh Kontorovich, David Toplin, Bo Waggoner:
Non-parametric Binary regression in metric spaces with KL loss. CoRR abs/2010.09886 (2020)
2010 – 2019
- 2019
- [j2]Zhiwei Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel:
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM. J. Priv. Confidentiality 9(2) (2019) - [c25]Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner:
Multi-Observation Regression. AISTATS 2019: 2691-2700 - [c24]Justin D. Harris, Bo Waggoner:
Decentralized and Collaborative AI on Blockchain. Blockchain 2019: 368-375 - [c23]Nika Haghtalab, Cameron Musco, Bo Waggoner:
Toward a Characterization of Loss Functions for Distribution Learning. NeurIPS 2019: 7235-7244 - [c22]Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
Equal Opportunity in Online Classification with Partial Feedback. NeurIPS 2019: 8972-8982 - [c21]Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner:
An Embedding Framework for Consistent Polyhedral Surrogates. NeurIPS 2019: 10780-10790 - [c20]Jerry Anunrojwong, Yiling Chen, Bo Waggoner, Haifeng Xu:
Computing Equilibria of Prediction Markets via Persuasion. WINE 2019: 45-56 - [i18]Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
Equal Opportunity in Online Classification with Partial Feedback. CoRR abs/1902.02242 (2019) - [i17]Nika Haghtalab, Cameron Musco, Bo Waggoner:
Toward a Characterization of Loss Functions for Distribution Learning. CoRR abs/1906.02652 (2019) - [i16]Justin D. Harris, Bo Waggoner:
Decentralized & Collaborative AI on Blockchain. CoRR abs/1907.07247 (2019) - [i15]Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner:
An Embedding Framework for Consistent Polyhedral Surrogates. CoRR abs/1907.07330 (2019) - 2018
- [c19]Rafael M. Frongillo, Bo Waggoner:
An Axiomatic Study of Scoring Rule Markets. ITCS 2018: 15:1-15:20 - [c18]Sampath Kannan, Jamie Morgenstern, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem. NeurIPS 2018: 2231-2241 - [c17]Matthew Joseph, Aaron Roth, Jonathan R. Ullman, Bo Waggoner:
Local Differential Privacy for Evolving Data. NeurIPS 2018: 2381-2390 - [c16]Rafael M. Frongillo, Bo Waggoner:
Bounded-Loss Private Prediction Markets. NeurIPS 2018: 10456-10465 - [c15]Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner, Zhiwei Steven Wu:
Strategic Classification from Revealed Preferences. EC 2018: 55-70 - [c14]Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen:
Active Information Acquisition for Linear Optimization. UAI 2018: 167-176 - [i14]Sampath Kannan, Jamie Morgenstern, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem. CoRR abs/1801.03423 (2018) - [i13]Matthew Joseph, Aaron Roth, Jonathan R. Ullman, Bo Waggoner:
Local Differential Privacy for Evolving Data. CoRR abs/1802.07128 (2018) - [i12]Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner:
Multi-Observation Regression. CoRR abs/1802.09680 (2018) - 2017
- [j1]Yiling Chen, Bo Waggoner:
Intro to informational substitutes. SIGecom Exch. 16(1): 53-57 (2017) - [c13]Yuan Deng, Debmalya Panigrahi, Bo Waggoner:
The Complexity of Stable Matchings under Substitutable Preferences. AAAI 2017: 480-486 - [c12]Sebastian Casalaina-Martin, Rafael M. Frongillo, Tom Morgan, Bo Waggoner:
Multi-Observation Elicitation. COLT 2017: 449-464 - [c11]Katrina Ligett, Seth Neel, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM. NIPS 2017: 2566-2576 - [i11]Bo Waggoner, Rafael M. Frongillo, Jacob D. Abernethy:
Addendum to "A Market Framework for Eliciting Private Data". CoRR abs/1703.00899 (2017) - [i10]Yiling Chen, Bo Waggoner:
Informational Substitutes. CoRR abs/1703.08636 (2017) - [i9]Katrina Ligett, Seth Neel, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu:
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM. CoRR abs/1705.10829 (2017) - [i8]Sebastian Casalaina-Martin, Rafael M. Frongillo, Tom Morgan, Bo Waggoner:
Multi-Observation Elicitation. CoRR abs/1706.01394 (2017) - [i7]Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen:
Active Information Acquisition for Linear Optimization. CoRR abs/1709.10061 (2017) - [i6]Rafael M. Frongillo, Bo Waggoner:
An Axiomatic Study of Scoring Rule Markets. CoRR abs/1709.10065 (2017) - [i5]Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner, Zhiwei Steven Wu:
Strategic Classification from Revealed Preferences. CoRR abs/1710.07887 (2017) - 2016
- [c10]Yiling Chen, Bo Waggoner:
Informational Substitutes. FOCS 2016: 239-247 - [c9]Robert D. Kleinberg, Bo Waggoner, E. Glen Weyl:
Descending Price Optimally Coordinates Search. EC 2016: 23-24 - [i4]Robert Kleinberg, Bo Waggoner, E. Glen Weyl:
Descending Price Coordinates Approximately Efficient Search. CoRR abs/1603.07682 (2016) - 2015
- [c8]Yiling Chen, Kobbi Nissim, Bo Waggoner:
Fair Information Sharing for Treasure Hunting. AAAI 2015: 851-857 - [c7]Bo Waggoner:
Lp Testing and Learning of Discrete Distributions. ITCS 2015: 347-356 - [c6]Bo Waggoner, Rafael M. Frongillo, Jacob D. Abernethy:
A Market Framework for Eliciting Private Data. NIPS 2015: 3510-3518 - [c5]Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner:
Low-Cost Learning via Active Data Procurement. EC 2015: 619-636 - [c4]Aranyak Mehta, Bo Waggoner, Morteza Zadimoghaddam:
Online Stochastic Matching with Unequal Probabilities. SODA 2015: 1388-1404 - [i3]Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner:
Actively Purchasing Data for Learning. CoRR abs/1502.05774 (2015) - 2014
- [c3]Bo Waggoner, Yiling Chen:
Output Agreement Mechanisms and Common Knowledge. HCOMP 2014: 220-226 - [i2]Bo Waggoner:
ℓp Testing and Learning of Discrete Distributions. CoRR abs/1412.2314 (2014) - 2013
- [c2]Yang Cai, Mohammad Mahdian, Aranyak Mehta, Bo Waggoner:
Designing Markets for Daily Deals. WINE 2013: 82-95 - [i1]Yang Cai, Mohammad Mahdian, Aranyak Mehta, Bo Waggoner:
Designing Markets for Daily Deals. CoRR abs/1310.0548 (2013) - 2012
- [c1]Bo Waggoner, Lirong Xia, Vincent Conitzer:
Evaluating Resistance to False-Name Manipulations in Elections. AAAI 2012: 1485-1491
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
