Eichhorn, Matthew

6 publications

AISTATS 2025 Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference Under Network Interference Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Yu

NeurIPSW 2022 Exploiting Neighborhood Interference with Low Order Interactions Under Unit Randomized Design Mayleen Cortez, Matthew Eichhorn, Christina Yu

NeurIPS 2022 Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge Mayleen Cortez, Matthew Eichhorn, Christina Yu

ICLR 2020 Kaleidoscope: An Efficient, Learnable Representation for All Structured Linear Maps Tri Dao, Nimit Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré

ICML 2019 Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Re

UAI 2018 Fast Counting in Machine Learning Applications Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola