Mallesh M. Pai

43 papers A* 9A 2B 4Journal 27Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Does Your Blockchain Need Multidimensional Transaction Fees?
CoRR
Nir Lavee, Noam Nisan, Mallesh M. Pai, Max Resnick
2025 B conf
Measuring CEX-DEX Extracted Value and Searcher Profitability: The Darkest of the MEV Dark Forest.
AFT
Fei Wu, Danning Sui, Thomas Thiery, Mallesh M. Pai
2025 J jnl
Measuring CEX-DEX Extracted Value and Searcher Profitability: The Darkest of the MEV Dark Forest.
CoRR
Fei Wu, Danning Sui, Thomas Thiery, Mallesh M. Pai
2024 J jnl
An Analysis of Intent-Based Markets.
CoRR
Tarun Chitra, Kshitij Kulkarni, Mallesh M. Pai, Theo Diamandis
2024 J jnl
Centralization in Attester-Proposer Separation.
CoRR
Mallesh M. Pai, Max Resnick
2024 J jnl
How much should you pay for restaking security?
CoRR
Tarun Chitra, Mallesh M. Pai
2024 B conf
Optimizing Exit Queues for Proof-Of-Stake Blockchains: A Mechanism Design Approach.
AFT
Michael Neuder, Mallesh M. Pai, Max Resnick
2024 J jnl
Optimizing Exit Queues for Proof-of-Stake Blockchains: A Mechanism Design Approach.
CoRR
Michael Neuder, Mallesh M. Pai, Max Resnick
2024 J jnl
Strategy investments in zero-sum games.
Optim. Lett.
Raul Garcia, Seyedmohammadhossein Hosseinian, Mallesh M. Pai, Andrew J. Schaefer
2024 — conf
Structural Advantages for Integrated Builders in MEV-Boost.
FC Workshops
Mallesh M. Pai, Max Resnick
2023 B conf
Censorship Resistance in On-Chain Auctions.
AFT
Elijah Fox, Mallesh M. Pai, Max Resnick
2023 J jnl
Censorship Resistance in On-Chain Auctions.
CoRR
Mallesh M. Pai, Max Resnick, Elijah Fox
2023 A* conf
Taxing Externalities Without Hurting the Poor.
EC
Mallesh M. Pai, Philipp Strack
2023 B conf
The Centralizing Effects of Private Order Flow on Proposer-Builder Separation.
AFT
Tivas Gupta, Mallesh M. Pai, Max Resnick
2023 A* conf
The Wisdom of the Crowd and Higher-Order Beliefs.
EC
Yi-Chun Chen, Manuel Mueller-Frank, Mallesh M. Pai
2022 J jnl
Continuous implementation with direct revelation mechanisms.
J. Econ. Theory
Yi-Chun Chen, Manuel Mueller-Frank, Mallesh M. Pai
2022 A* conf
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications.
NeurIPS
Daniel Lee, Georgy Noarov, Mallesh M. Pai, Aaron Roth
2022 A conf
Online Multivalid Learning: Means, Moments, and Prediction Intervals.
ITCS
Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth
2021 J jnl
Frontiers: Algorithmic Collusion: Supra-competitive Prices via Independent Algorithms.
Mark. Sci.
Karsten Hansen, Kanishka Misra, Mallesh M. Pai
2021 A* conf
Moment Multicalibration for Uncertainty Estimation.
COLT
Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
2021 J jnl
Online Multiobjective Minimax Optimization and Applications.
CoRR
Georgy Noarov, Mallesh M. Pai, Aaron Roth
2021 J jnl
Online Multivalid Learning: Means, Moments, and Prediction Intervals.
CoRR
Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth
2021 J jnl
The Wisdom of the Crowd and Higher-Order Beliefs.
CoRR
Yi-Chun Chen, Manuel Mueller-Frank, Mallesh M. Pai
2020 A* conf
Fair Prediction with Endogenous Behavior.
EC
Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
2020 J jnl
Fair Prediction with Endogenous Behavior.
CoRR
Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
2020 J jnl
Moment Multicalibration for Uncertainty Estimation.
CoRR
Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
2019 J jnl
Competing Models.
CoRR
Jose Luis Montiel Olea, Pietro Ortoleva, Mallesh M. Pai, Andrea Prat
2017 J jnl
An Antifolk Theorem for Large Repeated Games.
ACM Trans. Economics and Comput.
Mallesh M. Pai, Aaron Roth, Jonathan R. Ullman
2017 A* conf
Fairness Incentives for Myopic Agents.
EC
Sampath Kannan, Michael J. Kearns, Jamie Morgenstern, Mallesh M. Pai, Aaron Roth, Rakesh V. Vohra, Zhiwei Steven Wu
2017 J jnl
Fairness Incentives for Myopic Agents.
CoRR
Sampath Kannan, Michael J. Kearns, Jamie Morgenstern, Mallesh M. Pai, Aaron Roth, Rakesh V. Vohra, Zhiwei Steven Wu
2016 A* conf
The Strange Case of Privacy in Equilibrium Models.
EC
Rachel Cummings, Katrina Ligett, Mallesh M. Pai, Aaron Roth
2015 J jnl
Robust Mediators in Large Games.
CoRR
Michael J. Kearns, Mallesh M. Pai, Ryan M. Rogers, Aaron Roth, Jonathan R. Ullman
2015 J jnl
The Strange Case of Privacy in Equilibrium Models.
CoRR
Rachel Cummings, Katrina Ligett, Mallesh M. Pai, Aaron Roth
2014 J jnl
An Anti-Folk Theorem for Large Repeated Games with Imperfect Monitoring.
CoRR
Mallesh M. Pai, Aaron Roth, Jonathan R. Ullman
2014 J jnl
Coarse decision making and overfitting.
J. Econ. Theory
Nabil I. Al-Najjar, Mallesh M. Pai
2014 A conf
Mechanism design in large games: incentives and privacy.
ITCS
Michael J. Kearns, Mallesh M. Pai, Aaron Roth, Jonathan R. Ullman
2014 J jnl
Optimal auctions with financially constrained buyers.
J. Econ. Theory
Mallesh M. Pai, Rakesh Vohra
2013 A* conf
Ironing in Dynamic Revenue Management: Posted Prices & Biased Auctions.
SODA
Rahul Deb, Mallesh M. Pai
2013 J jnl
Optimal Dynamic Auctions and Simple Index Rules.
Math. Oper. Res.
Mallesh M. Pai, Rakesh Vohra
2013 J jnl
Privacy and Mechanism Design.
CoRR
Mallesh M. Pai, Aaron Roth
2013 J jnl
Privacy and mechanism design.
SIGecom Exch.
Mallesh M. Pai, Aaron Roth
2010 A* conf
Auctions with intermediaries: extended abstract.
EC
Jon Feldman, Vahab S. Mirrokni, S. Muthukrishnan, Mallesh M. Pai
2010 J jnl
Competition in mechanisms.
SIGecom Exch.
Mallesh M. Pai