Bo Waggoner - RankMe

86 papers A* 26A 4B 1Journal 47Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficiency of Constant Log Utility Market Makers. CoRR Maneesha Papireddygari, Xintong Wang, Bo Waggoner, David M. Pennock
2025	A*	`conf`	Forecasting Competitions with Correlated Events. AAAI Rafael M. Frongillo, Manuel E. Lladser, Anish Thilagar, Bo Waggoner
2025	J	`jnl`	Prophet Inequalities for Bandits, Cabinets, and DAGs. CoRR Robin Bowers, Elias Lindgren, Bo Waggoner
2025	J	`jnl`	Robust forecast aggregation via additional queries. CoRR Rafael M. Frongillo, Mary Monroe, Eric Neyman, Bo Waggoner
2025	J	`jnl`	Smooth Quadratic Prediction Markets. CoRR Enrique B. Nueve, Bo Waggoner
2024	A	`conf`	An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets. ITCS Rafael M. Frongillo, Maneesha Papireddygari, Bo Waggoner
2024	J	`jnl`	An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates. J. Mach. Learn. Res. Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2024	—	`conf`	Matching with Nested and Bundled Pandora Boxes. WINE Robin Bowers, Bo Waggoner
2024	J	`jnl`	Matching with Nested and Bundled Pandora Boxes. CoRR Robin Bowers, Bo Waggoner
2024	J	`jnl`	Public Projects with Preferences and Predictions. CoRR Mary Monroe, Bo Waggoner
2024	J	`jnl`	Recent Trends in Information Elicitation. SIGecom Exch. Rafael M. Frongillo, Bo Waggoner
2024	A*	`conf`	Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification. NeurIPS Enrique B. Nueve, Dhamma Kimpara, Bo Waggoner, Jessica Finocchiaro
2024	J	`jnl`	Trading off Consistency and Dimensionality of Convex Surrogates for the Mode. CoRR Enrique B. Nueve, Bo Waggoner, Dhamma Kimpara, Jessie Finocchiaro
2023	A*	`conf`	Agreement Implies Accuracy for Substitutable Signals. EC Rafael M. Frongillo, Eric Neyman, Bo Waggoner
2023	J	`jnl`	An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets. CoRR Rafael M. Frongillo, Maneesha Papireddygari, Bo Waggoner
2023	J	`jnl`	Forecasting Competitions with Correlated Events. CoRR Rafael M. Frongillo, Manuel E. Lladser, Anish Thilagar, Bo Waggoner
2023	—	`conf`	High-Welfare Matching Markets via Descending Price. WINE Robin Bowers, Bo Waggoner
2023	A*	`conf`	Proper Losses for Discrete Generative Models. ICML Dhamma Kimpara, Rafael M. Frongillo, Bo Waggoner
2023	J	`jnl`	Prophet Inequalities with Linear Correlations and Augmentations. ACM Trans. Economics and Comput. Nicole Immorlica, Sahil Singla, Bo Waggoner
2022	J	`jnl`	An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates. CoRR Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2022	A*	`conf`	Contracts with Information Acquisition, via Scoring Rules. EC Maneesha Papireddygari, Bo Waggoner
2022	J	`jnl`	Contracts with Information Acquisition, via Scoring Rules. CoRR Maneesha Papireddygari, Bo Waggoner
2022	J	`jnl`	High Welfare Matching Markets via Descending Price. CoRR Robin Bowers, Bo Waggoner
2022	J	`jnl`	Proper losses for discrete generative models. CoRR Rafael M. Frongillo, Dhamma Kimpara, Bo Waggoner
2021	J	`jnl`	Agreement Implies Accuracy for Substitutable Signals. CoRR Rafael M. Frongillo, Eric Neyman, Bo Waggoner
2021	A*	`conf`	Efficient Competitions and Online Learning with Strategic Forecasters. EC Rafael M. Frongillo, Robert Gomez, Anish Thilagar, Bo Waggoner
2021	J	`jnl`	Efficient Competitions and Online Learning with Strategic Forecasters. CoRR Rafael M. Frongillo, Robert Gomez, Anish Thilagar, Bo Waggoner
2021	J	`jnl`	Linear Functions to the Extended Reals. CoRR Bo Waggoner
2021	A*	`conf`	Surrogate Regret Bounds for Polyhedral Losses. NeurIPS Rafael M. Frongillo, Bo Waggoner
2021	J	`jnl`	Surrogate Regret Bounds for Polyhedral Losses. CoRR Rafael M. Frongillo, Bo Waggoner
2021	—	`conf`	Towards a Theory of Confidence in Market-Based Predictions. ISIPTA Rupert Freeman, David M. Pennock, Daniel M. Reeves, David M. Rothschild, Bo Waggoner
2021	J	`jnl`	Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates. CoRR Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2021	A*	`conf`	Unifying lower bounds on prediction dimension of convex surrogates. NeurIPS Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2020	J	`jnl`	A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem. CoRR Zhiyuan Liu, Huazheng Wang, Bo Waggoner, Youjian Liu, Lijun Chen
2020	J	`jnl`	Channel Auctions. Manag. Sci. Eduardo M. Azevedo, David M. Pennock, Bo Waggoner, E. Glen Weyl
2020	J	`jnl`	Computing Equilibria of Prediction Markets via Persuasion. CoRR Jerry Anunrojwong, Yiling Chen, Bo Waggoner, Haifeng Xu
2020	A*	`conf`	Embedding Dimension of Polyhedral Losses. COLT Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2020	J	`jnl`	Local Differential Privacy for Evolving Data. J. Priv. Confidentiality Matthew Joseph, Aaron Roth, Jonathan R. Ullman, Bo Waggoner
2020	J	`jnl`	Non-parametric Binary regression in metric spaces with KL loss. CoRR Ariel Avital, Klim Efremenko, Aryeh Kontorovich, David Toplin, Bo Waggoner
2020	A*	`conf`	Preventing Arbitrage from Collusion When Eliciting Probabilities. AAAI Rupert Freeman, David M. Pennock, Dominik Peters, Bo Waggoner
2020	A*	`conf`	Prophet Inequalities with Linear Correlations and Augmentations. EC Nicole Immorlica, Sahil Singla, Bo Waggoner
2020	J	`jnl`	Prophet Inequalities with Linear Correlations and Augmentations. CoRR Nicole Immorlica, Sahil Singla, Bo Waggoner
2019	J	`jnl`	Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM. J. Priv. Confidentiality Zhiwei Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel
2019	A*	`conf`	An Embedding Framework for Consistent Polyhedral Surrogates. NeurIPS Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2019	J	`jnl`	An Embedding Framework for Consistent Polyhedral Surrogates. CoRR Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
2019	—	`conf`	Computing Equilibria of Prediction Markets via Persuasion. WINE Jerry Anunrojwong, Yiling Chen, Bo Waggoner, Haifeng Xu
2019	J	`jnl`	Decentralized & Collaborative AI on Blockchain. CoRR Justin D. Harris, Bo Waggoner
2019	—	`conf`	Decentralized and Collaborative AI on Blockchain. Blockchain Justin D. Harris, Bo Waggoner
2019	A*	`conf`	Equal Opportunity in Online Classification with Partial Feedback. NeurIPS Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
2019	J	`jnl`	Equal Opportunity in Online Classification with Partial Feedback. CoRR Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
2019	A	`conf`	Multi-Observation Regression. AISTATS Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner
2019	A*	`conf`	Toward a Characterization of Loss Functions for Distribution Learning. NeurIPS Nika Haghtalab, Cameron Musco, Bo Waggoner
2019	J	`jnl`	Toward a Characterization of Loss Functions for Distribution Learning. CoRR Nika Haghtalab, Cameron Musco, Bo Waggoner
2018	A*	`conf`	A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem. NeurIPS Sampath Kannan, Jamie Morgenstern, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
2018	J	`jnl`	A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem. CoRR Sampath Kannan, Jamie Morgenstern, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
2018	A	`conf`	Active Information Acquisition for Linear Optimization. UAI Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen
2018	A	`conf`	An Axiomatic Study of Scoring Rule Markets. ITCS Rafael M. Frongillo, Bo Waggoner
2018	A*	`conf`	Bounded-Loss Private Prediction Markets. NeurIPS Rafael M. Frongillo, Bo Waggoner
2018	A*	`conf`	Local Differential Privacy for Evolving Data. NeurIPS Matthew Joseph, Aaron Roth, Jonathan R. Ullman, Bo Waggoner
2018	J	`jnl`	Local Differential Privacy for Evolving Data. CoRR Matthew Joseph, Aaron Roth, Jonathan R. Ullman, Bo Waggoner
2018	J	`jnl`	Multi-Observation Regression. CoRR Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner
2018	A*	`conf`	Strategic Classification from Revealed Preferences. EC Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner, Zhiwei Steven Wu
2017	—	`conf`	Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM. NIPS Katrina Ligett, Seth Neel, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
2017	J	`jnl`	Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM. CoRR Katrina Ligett, Seth Neel, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu
2017	J	`jnl`	Active Information Acquisition for Linear Optimization. CoRR Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen
2017	J	`jnl`	Addendum to "A Market Framework for Eliciting Private Data". CoRR Bo Waggoner, Rafael M. Frongillo, Jacob D. Abernethy
2017	J	`jnl`	An Axiomatic Study of Scoring Rule Markets. CoRR Rafael M. Frongillo, Bo Waggoner
2017	J	`jnl`	Informational Substitutes. CoRR Yiling Chen, Bo Waggoner
2017	J	`jnl`	Intro to informational substitutes. SIGecom Exch. Yiling Chen, Bo Waggoner
2017	A*	`conf`	Multi-Observation Elicitation. COLT Sebastian Casalaina-Martin, Rafael M. Frongillo, Tom Morgan, Bo Waggoner
2017	J	`jnl`	Multi-Observation Elicitation. CoRR Sebastian Casalaina-Martin, Rafael M. Frongillo, Tom Morgan, Bo Waggoner
2017	J	`jnl`	Strategic Classification from Revealed Preferences. CoRR Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner, Zhiwei Steven Wu
2017	A*	`conf`	The Complexity of Stable Matchings under Substitutable Preferences. AAAI Yuan Deng, Debmalya Panigrahi, Bo Waggoner
2016	J	`jnl`	Descending Price Coordinates Approximately Efficient Search. CoRR Robert Kleinberg, Bo Waggoner, E. Glen Weyl
2016	A*	`conf`	Descending Price Optimally Coordinates Search. EC Robert D. Kleinberg, Bo Waggoner, E. Glen Weyl
2016	A*	`conf`	Informational Substitutes. FOCS Yiling Chen, Bo Waggoner
2015	—	`conf`	A Market Framework for Eliciting Private Data. NIPS Bo Waggoner, Rafael M. Frongillo, Jacob D. Abernethy
2015	J	`jnl`	Actively Purchasing Data for Learning. CoRR Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner
2015	A*	`conf`	Fair Information Sharing for Treasure Hunting. AAAI Yiling Chen, Kobbi Nissim, Bo Waggoner
2015	A*	`conf`	Low-Cost Learning via Active Data Procurement. EC Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner
2015	A*	`conf`	Online Stochastic Matching with Unequal Probabilities. SODA Aranyak Mehta, Bo Waggoner, Morteza Zadimoghaddam
2014	B	`conf`	Output Agreement Mechanisms and Common Knowledge. HCOMP Bo Waggoner, Yiling Chen
2014	J	`jnl`	ℓ CoRR Bo Waggoner
2013	—	`conf`	Designing Markets for Daily Deals. WINE Yang Cai, Mohammad Mahdian, Aranyak Mehta, Bo Waggoner
2013	J	`jnl`	Designing Markets for Daily Deals. CoRR Yang Cai, Mohammad Mahdian, Aranyak Mehta, Bo Waggoner
2012	A*	`conf`	Evaluating Resistance to False-Name Manipulations in Elections. AAAI Bo Waggoner, Lirong Xia, Vincent Conitzer