Matthew Eichhorn

According to our database, Matthew Eichhorn authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Combining Rollout Designs and Clustering for Causal Inference under Low-order Interference.

Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu

CoRR, 2024

2023

Allocating with Priorities and Quotas: Algorithms, Complexity, and Dynamics.

Siddhartha Banerjee, Matthew Eichhorn, David Kempe

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

2022

Exploiting neighborhood interference with low order interactions under unit randomized design.

Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu

CoRR, 2022

Graph Agnostic Estimators with Staggered Rollout Designs under Network Interference.

Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu

CoRR, 2022

Fair and Efficient Allocation with Quotas.

Siddhartha Banerjee, Matthew Eichhorn, David Kempe

CoRR, 2022

Online Team Formation Under Different Synergies.

Matthew Eichhorn, Siddhartha Banerjee, David Kempe

Proceedings of the Web and Internet Economics - 18th International Conference, 2022

Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge.

Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Automated survey of selected common plant species in Thai homegardens using Google Street View imagery and a deep neural network.

John Ringland, Martha Bohm, So-Ra Baek, Matthew Eichhorn

Earth Sci. Informatics, 2021

2020

Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps.

Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations.

Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Fast Counting in Machine Learning Applications.

Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018