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Matthew Eichhorn
Matthew Eichhorn
Verificeret mail på cornell.edu
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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
1002019
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
482020
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
162022
Fast counting in machine learning applications
S Karan, M Eichhorn, B Hurlburt, G Iraci, J Zola
arXiv preprint arXiv:1804.04640, 2018
112018
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
102023
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
92021
Graph agnostic estimators with staggered rollout designs under network interference
M Cortez, M Eichhorn, CL Yu
arXiv preprint arXiv:2205.14552, 2022
72022
Online Team Formation Under Different Synergies
M Eichhorn, S Banerjee, D Kempe
International Conference on Web and Internet Economics, 78-95, 2022
12022
Combining Rollout Designs and Clustering for Causal Inference under Low-order Interference
M Cortez-Rodriguez, M Eichhorn, CL Yu
arXiv preprint arXiv:2405.05119, 2024
2024
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
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Artikler 1–11