| The perils of learning before optimizing C Cameron, J Hartford, T Lundy, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3708-3715, 2022 | 16 | 2022 |
| Allocation for social good: auditing mechanisms for utility maximization T Lundy, A Wei, H Fu, SD Kominers, K Leyton-Brown Proceedings of the 2019 ACM Conference on Economics and Computation, 785-803, 2019 | 15 | 2019 |
| Monte Carlo Forest Search: UNSAT Solver Synthesis via Reinforcement learning. C Cameron, J Hartford, T Lundy, T Truong, A Milligan, R Chen, ... arXiv preprint (to appear November 21st), 2022 | 4 | 2022 |
| Simple Mechanisms for Utility Maximization: Approximating Welfare in the IID Unit-Demand Setting K Goldner, T Lundy arXiv preprint arXiv:2402.12340, 2024 | 1 | 2024 |
| UNSAT Solver Synthesis via Monte Carlo Forest Search C Cameron, J Hartford, T Lundy, T Truong, A Milligan, R Chen, ... arXiv preprint arXiv:2211.12581, 2022 | 1 | 2022 |
| Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver D Graham, SK Sarraf, T Lundy, A MohammadMehr, S Uppal, TY Lee, ... arXiv preprint arXiv:2003.09761, 2020 | 1 | 2020 |
| Pay to (Not) Play: Monetizing Impatience in Mobile Games T Lundy, N Raman, H Fu, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 9856-9864, 2024 | | 2024 |
| Rationality Report Cards: Assessing the Economic Rationality of Large Language Models N Raman, T Lundy, S Amouyal, Y Levine, K Leyton-Brown, ... arXiv preprint arXiv:2402.09552, 2024 | | 2024 |
| Finding the smallest tree in the forest: Monte Carlo Forest Search for UNSAT solving C Cameron, J Hartford, T Lundy, T Truong, A Milligan, R Chen, ... | | 2022 |
| Limitations of Incentive Compatibility on Discrete Type Spaces T Lundy, H Fu Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 2136-2143, 2020 | | 2020 |
| Unlocking the power of modern ML for use in CSP C Cameron, J Hartford, T Lundy, K Leyton-Brown | | |
