Matthew Eichhorn

16 papers A* 4A 2Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference.
AISTATS
Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu
2024 J jnl
Combining Rollout Designs and Clustering for Causal Inference under Low-order Interference.
CoRR
Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu
2023 A* conf
Allocating with Priorities and Quotas: Algorithms, Complexity, and Dynamics.
EC
Siddhartha Banerjee, Matthew Eichhorn, David Kempe
2022 J jnl
Exploiting neighborhood interference with low order interactions under unit randomized design.
CoRR
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
2022 J jnl
Fair and Efficient Allocation with Quotas.
CoRR
Siddhartha Banerjee, Matthew Eichhorn, David Kempe
2022 J jnl
Graph Agnostic Estimators with Staggered Rollout Designs under Network Interference.
CoRR
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
2022 — conf
Online Team Formation Under Different Synergies.
WINE
Matthew Eichhorn, Siddhartha Banerjee, David Kempe
2022 J jnl
Online Team Formation under Different Synergies.
CoRR
Matthew Eichhorn, Siddhartha Banerjee, David Kempe
2022 A* conf
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge.
NeurIPS
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
2021 J jnl
Automated survey of selected common plant species in Thai homegardens using Google Street View imagery and a deep neural network.
Earth Sci. Informatics
John Ringland, Martha Bohm, So-Ra Baek, Matthew Eichhorn
2020 A* conf
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps.
ICLR
Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré
2020 J jnl
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps.
CoRR
Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré
2019 A* conf
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations.
ICML
Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré
2019 J jnl
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations.
CoRR
Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré
2018 A conf
Fast Counting in Machine Learning Applications.
UAI
Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola
2018 J jnl
Fast Counting in Machine Learning Applications.
CoRR
Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola