Mallesh M. Pai

According to our database, Mallesh M. Pai authored at least 29 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Strategy investments in zero-sum games.

Raul Garcia, Seyedmohammadhossein Hosseinian, Mallesh M. Pai, Andrew J. Schaefer

Optim. Lett., November, 2024

Centralization in Attester-Proposer Separation.

Mallesh M. Pai, Max Resnick

CoRR, 2024

Structural Advantages for Integrated Builders in MEV-Boost.

Mallesh M. Pai, Max Resnick

Proceedings of the Financial Cryptography and Data Security. FC 2024 International Workshops, 2024

Optimizing Exit Queues for Proof-Of-Stake Blockchains: A Mechanism Design Approach.

Michael Neuder, Mallesh M. Pai, Max Resnick

Proceedings of the 6th Conference on Advances in Financial Technologies, 2024

2023

Taxing Externalities Without Hurting the Poor.

Mallesh M. Pai, Philipp Strack

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

The Wisdom of the Crowd and Higher-Order Beliefs.

Yi-Chun Chen, Manuel Mueller-Frank, Mallesh M. Pai

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

The Centralizing Effects of Private Order Flow on Proposer-Builder Separation.

Tivas Gupta, Mallesh M. Pai, Max Resnick

Proceedings of the 5th Conference on Advances in Financial Technologies, 2023

Censorship Resistance in On-Chain Auctions.

Elijah Fox, Mallesh M. Pai, Max Resnick

Proceedings of the 5th Conference on Advances in Financial Technologies, 2023

2022

Continuous implementation with direct revelation mechanisms.

Yi-Chun Chen, Manuel Mueller-Frank, Mallesh M. Pai

J. Econ. Theory, 2022

Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications.

Daniel Lee, Georgy Noarov, Mallesh M. Pai, Aaron Roth

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Multivalid Learning: Means, Moments, and Prediction Intervals.

Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021

Frontiers: Algorithmic Collusion: Supra-competitive Prices via Independent Algorithms.

Karsten Hansen, Kanishka Misra, Mallesh M. Pai

Mark. Sci., 2021

Online Multiobjective Minimax Optimization and Applications.

Georgy Noarov, Mallesh M. Pai, Aaron Roth

CoRR, 2021

Moment Multicalibration for Uncertainty Estimation.

Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra

Proceedings of the Conference on Learning Theory, 2021

2020

Fair Prediction with Endogenous Behavior.

Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra

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

2019

Competing Models.

Jose Luis Montiel Olea, Pietro Ortoleva, Mallesh M. Pai, Andrea Prat

CoRR, 2019

2017

An Antifolk Theorem for Large Repeated Games.

Mallesh M. Pai, Aaron Roth, Jonathan R. Ullman

ACM Trans. Economics and Comput., 2017

Fairness Incentives for Myopic Agents.

Sampath Kannan, Michael J. Kearns, Jamie Morgenstern, Mallesh M. Pai, Aaron Roth, Rakesh V. Vohra, Zhiwei Steven Wu

Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

2016

The Strange Case of Privacy in Equilibrium Models.

Rachel Cummings, Katrina Ligett, Mallesh M. Pai, Aaron Roth

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

2015

Robust Mediators in Large Games.

Michael J. Kearns, Mallesh M. Pai, Ryan M. Rogers, Aaron Roth, Jonathan R. Ullman

CoRR, 2015

2014

Optimal auctions with financially constrained buyers.

Mallesh M. Pai, Rakesh Vohra

J. Econ. Theory, 2014

Coarse decision making and overfitting.

Nabil I. Al-Najjar, Mallesh M. Pai

J. Econ. Theory, 2014

An Anti-Folk Theorem for Large Repeated Games with Imperfect Monitoring.

Mallesh M. Pai, Aaron Roth, Jonathan R. Ullman

CoRR, 2014

Mechanism design in large games: incentives and privacy.

Michael J. Kearns, Mallesh M. Pai, Aaron Roth, Jonathan R. Ullman

Proceedings of the Innovations in Theoretical Computer Science, 2014

2013

Privacy and mechanism design.

Mallesh M. Pai, Aaron Roth

SIGecom Exch., 2013

Optimal Dynamic Auctions and Simple Index Rules.

Mallesh M. Pai, Rakesh Vohra

Math. Oper. Res., 2013

Ironing in Dynamic Revenue Management: Posted Prices & Biased Auctions.

Rahul Deb, Mallesh M. Pai

Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013

2010

Competition in mechanisms.

Mallesh M. Pai

SIGecom Exch., 2010

Auctions with intermediaries: extended abstract.

Jon Feldman, Vahab S. Mirrokni, S. Muthukrishnan, Mallesh M. Pai

Proceedings of the Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), 2010