Publications

Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu (2023). Exploiting Neighborhood Interference with Low Order Interactions under Unit Randomized Design. In JCI.

PDF Cite Code Poster arXiv

Siddhartha Banerjee, Matthew Eichhorn, David Kempe (2023). Allocating with Priorities and Quotas: Algorithms, Complexity, and Dynamics. In EC.

PDF Cite Slides arXiv

Matthew Eichhorn, Siddhartha Banerjee, David Kempe (2022). Online Team Formation Under Different Synergies. In WINE.

PDF Cite Slides arXiv

Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu (2022). Staggered Rollout Designs Enable Causal Inference under Interference without Network Knowledge. In NeurIPS.

PDF Cite Poster arXiv

John Ringland, Martha Bohm, So-Ra Baek, Matthew Eichhorn (2021). Automated Survey of Selected Common Plant Species in Thai Homegardens Using Google Street View Imagery and a Deep Neural Network. In ESI.

PDF Cite SpringerLink

Tri Dao, Nimit S. Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Re (2020). Kaleidoscope: An Efficient, Learnable Representation for all Structured Linear Maps. In ICLR.

PDF Cite Code arXiv

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

PDF Cite Code arXiv

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

PDF Cite Code arXiv