Matthew Eichhorn

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Structured Representation

Top Venues

Earth Sci. Informatics

Publications

Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu
Combining Rollout Designs and Clustering for Causal Inference under Low-order Interference. CoRR (2024)
Siddhartha Banerjee, Matthew Eichhorn, David Kempe
Allocating with Priorities and Quotas: Algorithms, Complexity, and Dynamics. EC (2023)
Siddhartha Banerjee, Matthew Eichhorn, David Kempe
Fair and Efficient Allocation with Quotas. CoRR (2022)
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
Graph Agnostic Estimators with Staggered Rollout Designs under Network Interference. CoRR (2022)
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge. NeurIPS (2022)
Matthew Eichhorn, Siddhartha Banerjee, David Kempe
Online Team Formation Under Different Synergies. WINE (2022)
Matthew Eichhorn, Siddhartha Banerjee, David Kempe
Online Team Formation under Different Synergies. CoRR (2022)
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
Exploiting neighborhood interference with low order interactions under unit randomized design. CoRR (2022)
John Ringland, Martha Bohm, So-Ra Baek, Matthew Eichhorn
Automated survey of selected common plant species in Thai homegardens using Google Street View imagery and a deep neural network. Earth Sci. Informatics 14 (1) (2021)
Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. CoRR (2020)
Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. ICLR (2020)
Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. CoRR (2019)
Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. ICML (2019)
Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola
Fast Counting in Machine Learning Applications. UAI (2018)
Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola
Fast Counting in Machine Learning Applications. CoRR (2018)