| Deep optimization for spectrum repacking N Newman, A Fréchette, K Leyton-Brown Communications of the ACM 61 (1), 97-104, 2017 | 37 | 2017 |
| Solving the station repacking problem A Fréchette, N Newman, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 32 | 2016 |
| Designing and evolving an electronic agricultural marketplace in Uganda N Newman, LF Bergquist, N Immorlica, K Leyton-Brown, B Lucier, ... Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018 | 26 | 2018 |
| Matching papers and reviewers at large conferences K Leyton-Brown, Y Nandwani, H Zarkoob, C Cameron, N Newman, ... Artificial Intelligence 331, 104119, 2024 | 21 | 2024 |
| Dynamic weighted matching with heterogeneous arrival and departure rates N Collina, N Immorlica, K Leyton-Brown, B Lucier, N Newman Web and Internet Economics: 16th International Conference, WINE 2020 …, 2020 | 21 | 2020 |
| Operations research enables auction to repurpose television spectrum for next-generation wireless technologies JL Kiddoo, E Kwerel, S Javid, M Dunford, GM Epstein, CE Meisch Jr, ... INFORMS Journal on Applied Analytics 49 (1), 7-22, 2019 | 14 | 2019 |
| Assessing economic outcomes in simulated reverse clock auctions for radio spectrum N Newman, K Leyton-Brown, P Milgrom, I Segal arXiv preprint arXiv:1706.04324, 2017 | 10 | 2017 |
| The positronic economist: A computational system for analyzing economic mechanisms D Thompson, N Newman, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 9 | 2017 |
| Incentive auction design alternatives: a simulation study N Newman, K Leyton-Brown, P Milgrom, I Segal Proceedings of the 21st ACM conference on economics and computation, 603-604, 2020 | 8 | 2020 |
| Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning G d'Eon, N Newman, K Leyton-Brown arXiv preprint arXiv:2402.19420, 2024 | | 2024 |
| Computational tools for complex electronic auctions N Newman University of British Columbia, 2024 | | 2024 |
| Artificial Intelligence and Market Design: Lessons Learned from Radio Spectrum Reallocation K Leyton-Brown, P Milgrom, CA Stanford, N Newman, I Segal National Bureau of Economic Research, 2023 | | 2023 |
| Efficient feasibility checking in reverse clock auctions for radio spectrum N Newman University of British Columbia, 2017 | | 2017 |
| Station Repacking in the Incentive Auction N Newman, K Leyton-Brown | | |
| Kudu: An Electronic Agricultural Marketplace in Uganda N Newman, N Immorlica, K Leyton-Brown, B Lucier, J Quinn, ... | | |
Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairVerified email at cs.ubc.ca
