Taylor Lundy

17 papers A* 6Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants.
WWW
Taylor Lundy, Narun K. Raman, Scott Duke Kominers, Kevin Leyton-Brown
2025 J jnl
NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants.
CoRR
Taylor Lundy, Narun K. Raman, Scott Duke Kominers, Kevin Leyton-Brown
2025 J jnl
Reasoning Models are Test Exploiters: Rethinking Multiple-Choice.
CoRR
Narun K. Raman, Taylor Lundy, Kevin Leyton-Brown
2025 J jnl
STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models.
CoRR
Narun K. Raman, Taylor Lundy, Thiago Amin, Jesse Perla, Kevin Leyton-Brown
2024 A* conf
Pay to (Not) Play: Monetizing Impatience in Mobile Games.
AAAI
Taylor Lundy, Narun K. Raman, Hu Fu, Kevin Leyton-Brown
2024 J jnl
Rationality Report Cards: Assessing the Economic Rationality of Large Language Models.
CoRR
Narun K. Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
2024 A* conf
STEER: Assessing the Economic Rationality of Large Language Models.
ICML
Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
2024 J jnl
Simple Mechanisms for Utility Maximization: Approximating Welfare in the I.I.D. Unit-Demand Setting.
CoRR
Kira Goldner, Taylor Lundy
2024 — conf
UNSAT Solver Synthesis via Monte Carlo Forest Search.
CPAIOR (1)
Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown
2023 J jnl
Pay to (Not) Play: Monetizing Impatience in Mobile Games.
CoRR
Taylor Lundy, Narun K. Raman, Hu Fu, Kevin Leyton-Brown
2022 J jnl
Monte Carlo Forest Search: UNSAT Solver Synthesis via Reinforcement learning.
CoRR
Chris Cameron, Jason S. Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown
2022 A* conf
The Perils of Learning Before Optimizing.
AAAI
Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown
2021 J jnl
The Perils of Learning Before Optimizing.
CoRR
Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown
2020 A* conf
Limitations of Incentive Compatibility on Discrete Type Spaces.
AAAI
Taylor Lundy, Hu Fu
2020 J jnl
Limitations of Incentive Compatibility on Discrete Type Spaces.
CoRR
Taylor Lundy, Hu Fu
2020 J jnl
Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver.
CoRR
Devon R. Graham, Satish Kumar Sarraf, Taylor Lundy, Ali MohammadMehr, Sara Uppal, Tae-Yoon Lee, Hedayat Zarkoob, Scott Duke Kominers, Kevin Leyton-Brown
2019 A* conf
Allocation for Social Good: Auditing Mechanisms for Utility Maximization.
EC
Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers, Kevin Leyton-Brown