Bo Waggoner

SIGecom Exch., 2024

An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates.

[BibT_eX]

[DOI]

Jessie Finocchiaro

J. Mach. Learn. Res., 2024

Matching with Nested and Bundled Pandora Boxes.

[BibT_eX]

[DOI]

Robin Bowers

CoRR, 2024

Public Projects with Preferences and Predictions.

[BibT_eX]

[DOI]

Mary Monroe

CoRR, 2024

Trading off Consistency and Dimensionality of Convex Surrogates for the Mode.

[BibT_eX]

[DOI]

CoRR, 2024

An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets.

[BibT_eX]

[DOI]

Maneesha Papireddygari

Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

2023

Forecasting Competitions with Correlated Events.

[BibT_eX]

[DOI]

CoRR, 2023

High-Welfare Matching Markets via Descending Price.

[BibT_eX]

[DOI]

Robin Bowers

Proceedings of the Web and Internet Economics - 19th International Conference, 2023

Agreement Implies Accuracy for Substitutable Signals.

[BibT_eX]

[DOI]

Eric Neyman

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Proper Losses for Discrete Generative Models.

[BibT_eX]

[DOI]

Dhamma Kimpara

Proceedings of the International Conference on Machine Learning, 2023

2022

Contracts with Information Acquisition, via Scoring Rules.

[BibT_eX]

[DOI]

Maneesha Papireddygari

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

2021

Linear Functions to the Extended Reals.

[BibT_eX]

[DOI]

CoRR, 2021

Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates.

[BibT_eX]

[DOI]

Jessie Finocchiaro

CoRR, 2021

Efficient Competitions and Online Learning with Strategic Forecasters.

[BibT_eX]

[DOI]

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Surrogate Regret Bounds for Polyhedral Losses.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unifying lower bounds on prediction dimension of convex surrogates.

[BibT_eX]

[DOI]

Jessica Finocchiaro

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards a Theory of Confidence in Market-Based Predictions.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

2020

Channel Auctions.

[BibT_eX]

[DOI]

Manag. Sci., 2020

Local Differential Privacy for Evolving Data.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Prophet Inequalities with Linear Correlations and Augmentations.

[BibT_eX]

[DOI]

Nicole Immorlica

Sahil Singla

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Embedding Dimension of Polyhedral Losses.

[BibT_eX]

[DOI]

Jessie Finocchiaro

Proceedings of the Conference on Learning Theory, 2020

Preventing Arbitrage from Collusion When Eliciting Probabilities.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2019

Decentralized & Collaborative AI on Blockchain.

[BibT_eX]

[DOI]

Justin D. Harris

CoRR, 2019

Computing Equilibria of Prediction Markets via Persuasion.

[BibT_eX]

[DOI]

Proceedings of the Web and Internet Economics - 15th International Conference, 2019

Toward a Characterization of Loss Functions for Distribution Learning.

[BibT_eX]

[DOI]

Nika Haghtalab

Cameron Musco

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.

[BibT_eX]

[DOI]

Jessica Finocchiaro

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Justin D. Harris

Proceedings of the IEEE International Conference on Blockchain, 2019

Multi-Observation Regression.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Active Information Acquisition for Linear Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Strategic Classification from Revealed Preferences.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Bounded-Loss Private Prediction Markets.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

2017

Intro to informational substitutes.

[BibT_eX]

[DOI]

SIGecom Exch., 2017

Addendum to "A Market Framework for Eliciting Private Data".

[BibT_eX]

[DOI]

Sebastian Casalaina-Martin

Jacob D. Abernethy

CoRR, 2017

Multi-Observation Elicitation.

[BibT_eX]

[DOI]

Tom Morgan

Proceedings of the 30th Conference on Learning Theory, 2017

The Complexity of Stable Matchings under Substitutable Preferences.

[BibT_eX]

[DOI]

Yuan Deng

Debmalya Panigrahi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Descending Price Coordinates Approximately Efficient Search.

[BibT_eX]

[DOI]

Robert Kleinberg

E. Glen Weyl

CoRR, 2016

Descending Price Optimally Coordinates Search.

[BibT_eX]

[DOI]

Robert D. Kleinberg

E. Glen Weyl

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Informational Substitutes.

[BibT_eX]

[DOI]

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

2015

Actively Purchasing Data for Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Online Stochastic Matching with Unequal Probabilities.

[BibT_eX]

[DOI]

Aranyak Mehta

Morteza Zadimoghaddam

Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Low-Cost Learning via Active Data Procurement.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

A Market Framework for Eliciting Private Data.

[BibT_eX]

[DOI]

Jacob D. Abernethy

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Lp Testing and Learning of Discrete Distributions.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015

Fair Information Sharing for Treasure Hunting.

[BibT_eX]

[DOI]

Kobbi Nissim

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

ℓp Testing and Learning of Discrete Distributions.

[BibT_eX]

[DOI]

CoRR, 2014

Output Agreement Mechanisms and Common Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

2013

Designing Markets for Daily Deals.

[BibT_eX]

[DOI]

Proceedings of the Web and Internet Economics - 9th International Conference, 2013

2012

Evaluating Resistance to False-Name Manipulations in Elections.

[BibT_eX]

[DOI]