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ORCIDMallesh M. Pai
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Journal Articles
- 2024
[j9]Raul Garcia, Seyedmohammadhossein Hosseinian, Mallesh M. Pai, Andrew J. Schaefer:
Strategy investments in zero-sum games. Optim. Lett. 18(8): 1771-1789 (2024)- 2022
- [j8]Yi-Chun Chen, Manuel Mueller-Frank, Mallesh M. Pai:
Continuous implementation with direct revelation mechanisms. J. Econ. Theory 201: 105422 (2022) - 2021
- [j7]Karsten Hansen, Kanishka Misra
, Mallesh M. Pai:
Frontiers: Algorithmic Collusion: Supra-competitive Prices via Independent Algorithms. Mark. Sci. 40(1): 1-12 (2021) - 2017
- [j6]Mallesh M. Pai, Aaron Roth, Jonathan R. Ullman:
An Antifolk Theorem for Large Repeated Games. ACM Trans. Economics and Comput. 5(2): 10:1-10:20 (2017) - 2014
- [j5]Mallesh M. Pai, Rakesh Vohra:
Optimal auctions with financially constrained buyers. J. Econ. Theory 150: 383-425 (2014) - [j4]Nabil I. Al-Najjar, Mallesh M. Pai:
Coarse decision making and overfitting. J. Econ. Theory 150: 467-486 (2014) - 2013
- [j3]Mallesh M. Pai, Rakesh Vohra:
Optimal Dynamic Auctions and Simple Index Rules. Math. Oper. Res. 38(4): 682-697 (2013) - [j2]Mallesh M. Pai, Aaron Roth:
Privacy and mechanism design. SIGecom Exch. 12(1): 8-29 (2013) - 2010
- [j1]Mallesh M. Pai:
Competition in mechanisms. SIGecom Exch. 9(1): 7 (2010)
Conference and Workshop Papers
- 2024
- [c14]Michael Neuder, Mallesh M. Pai, Max Resnick:
Optimizing Exit Queues for Proof-Of-Stake Blockchains: A Mechanism Design Approach. AFT 2024: 20:1-20:22 - 2023
- [c13]Elijah Fox, Mallesh M. Pai, Max Resnick:
Censorship Resistance in On-Chain Auctions. AFT 2023: 19:1-19:20 - [c12]Tivas Gupta, Mallesh M. Pai, Max Resnick:
The Centralizing Effects of Private Order Flow on Proposer-Builder Separation. AFT 2023: 20:1-20:15 - [c11]Yi-Chun Chen, Manuel Mueller-Frank, Mallesh M. Pai:
The Wisdom of the Crowd and Higher-Order Beliefs. EC 2023: 450 - [c10]Mallesh M. Pai, Philipp Strack:
Taxing Externalities Without Hurting the Poor. EC 2023: 1019 - 2022
- [c9]Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth:
Online Multivalid Learning: Means, Moments, and Prediction Intervals. ITCS 2022: 82:1-82:24 - [c8]Daniel Lee, Georgy Noarov, Mallesh M. Pai, Aaron Roth:
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications. NeurIPS 2022 - 2021
- [c7]Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra:
Moment Multicalibration for Uncertainty Estimation. COLT 2021: 2634-2678 - 2020
- [c6]Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra:
Fair Prediction with Endogenous Behavior. EC 2020: 677-678 - 2017
- [c5]Sampath Kannan, Michael J. Kearns, Jamie Morgenstern, Mallesh M. Pai, Aaron Roth, Rakesh V. Vohra, Zhiwei Steven Wu:
Fairness Incentives for Myopic Agents. EC 2017: 369-386 - 2016
- [c4]Rachel Cummings, Katrina Ligett, Mallesh M. Pai, Aaron Roth:
The Strange Case of Privacy in Equilibrium Models. EC 2016: 659 - 2014
- [c3]Michael J. Kearns, Mallesh M. Pai, Aaron Roth, Jonathan R. Ullman:
Mechanism design in large games: incentives and privacy. ITCS 2014: 403-410 - 2013
- [c2]Rahul Deb, Mallesh M. Pai:
Ironing in Dynamic Revenue Management: Posted Prices & Biased Auctions. SODA 2013: 620-631 - 2010
- [c1]Jon Feldman, Vahab S. Mirrokni, S. Muthukrishnan, Mallesh M. Pai:
Auctions with intermediaries: extended abstract. EC 2010: 23-32
Informal and Other Publications
- 2024
- [i14]Michael Neuder, Mallesh M. Pai, Max Resnick:
Optimizing Exit Queues for Proof-of-Stake Blockchains: A Mechanism Design Approach. CoRR abs/2406.05124 (2024) - [i13]Mallesh M. Pai, Max Resnick:
Centralization in Attester-Proposer Separation. CoRR abs/2408.03116 (2024) - 2023
- [i12]Mallesh M. Pai, Max Resnick, Elijah Fox:
Censorship Resistance in On-Chain Auctions. CoRR abs/2301.13321 (2023) - 2021
- [i11]Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth:
Online Multivalid Learning: Means, Moments, and Prediction Intervals. CoRR abs/2101.01739 (2021) - [i10]Yi-Chun Chen, Manuel Mueller-Frank, Mallesh M. Pai:
The Wisdom of the Crowd and Higher-Order Beliefs. CoRR abs/2102.02666 (2021) - [i9]Georgy Noarov, Mallesh M. Pai, Aaron Roth:
Online Multiobjective Minimax Optimization and Applications. CoRR abs/2108.03837 (2021) - 2020
- [i8]Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra:
Fair Prediction with Endogenous Behavior. CoRR abs/2002.07147 (2020) - [i7]Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra:
Moment Multicalibration for Uncertainty Estimation. CoRR abs/2008.08037 (2020) - 2019
- [i6]Jose Luis Montiel Olea, Pietro Ortoleva, Mallesh M. Pai, Andrea Prat:
Competing Models. CoRR abs/1907.03809 (2019) - 2017
- [i5]Sampath Kannan, Michael J. Kearns, Jamie Morgenstern, Mallesh M. Pai, Aaron Roth, Rakesh V. Vohra, Zhiwei Steven Wu:
Fairness Incentives for Myopic Agents. CoRR abs/1705.02321 (2017) - 2015
- [i4]Rachel Cummings, Katrina Ligett, Mallesh M. Pai, Aaron Roth:
The Strange Case of Privacy in Equilibrium Models. CoRR abs/1508.03080 (2015) - [i3]Michael J. Kearns, Mallesh M. Pai, Ryan M. Rogers, Aaron Roth, Jonathan R. Ullman:
Robust Mediators in Large Games. CoRR abs/1512.02698 (2015) - 2014
- [i2]Mallesh M. Pai, Aaron Roth, Jonathan R. Ullman:
An Anti-Folk Theorem for Large Repeated Games with Imperfect Monitoring. CoRR abs/1402.2801 (2014) - 2013
- [i1]Mallesh M. Pai, Aaron Roth:
Privacy and Mechanism Design. CoRR abs/1306.2083 (2013)
Coauthor Index
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