Learning fast algorithms for linear transforms using butterfly factorizations T Dao, A Gu, M Eichhorn, A Rudra, C Ré International conference on machine learning, 1517-1527, 2019 | 100 | 2019 |
Kaleidoscope: An efficient, learnable representation for all structured linear maps T Dao, NS Sohoni, A Gu, M Eichhorn, A Blonder, M Leszczynski, A Rudra, ... arXiv preprint arXiv:2012.14966, 2020 | 47 | 2020 |
Staggered rollout designs enable causal inference under interference without network knowledge M Cortez, M Eichhorn, C Yu Advances in Neural Information Processing Systems 35, 7437-7449, 2022 | 15 | 2022 |
Fast counting in machine learning applications S Karan, M Eichhorn, B Hurlburt, G Iraci, J Zola arXiv preprint arXiv:1804.04640, 2018 | 11 | 2018 |
Automated survey of selected common plant species in Thai homegardens using Google Street View imagery and a deep neural network J Ringland, M Bohm, SR Baek, M Eichhorn Earth Science Informatics 14, 179-191, 2021 | 9 | 2021 |
Exploiting neighborhood interference with low-order interactions under unit randomized design M Cortez-Rodriguez, M Eichhorn, CL Yu Journal of Causal Inference 11 (1), 20220051, 2023 | 8 | 2023 |
Graph agnostic estimators with staggered rollout designs under network interference M Cortez, M Eichhorn, CL Yu arXiv preprint arXiv:2205.14552, 2022 | 6 | 2022 |
Online Team Formation Under Different Synergies M Eichhorn, S Banerjee, D Kempe International Conference on Web and Internet Economics, 78-95, 2022 | 1 | 2022 |
Allocating with Priorities and Quotas: Algorithms, Complexity, and Dynamics S Banerjee, M Eichhorn, D Kempe Proceedings of the 24th ACM Conference on Economics and Computation, 209-240, 2023 | | 2023 |
Fair and Efficient Allocation with Quotas. S Banerjee, M Eichhorn, D Kempe arXiv preprint arXiv:2204.13019, 2022 | | 2022 |