Publications

Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu (2023). Exploiting Neighborhood Interference with Low Order Interactions under Unit Randomized Design. In JCI.
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Siddhartha Banerjee, Matthew Eichhorn, David Kempe (2023). Allocating with Priorities and Quotas: Algorithms, Complexity, and Dynamics. In EC.
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Matthew Eichhorn, Siddhartha Banerjee, David Kempe (2022). Online Team Formation Under Different Synergies. In WINE.
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Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu (2022). Staggered Rollout Designs Enable Causal Inference under Interference without Network Knowledge. In NeurIPS.
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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.
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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.
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Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Re (2019). Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. In ICML.
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Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola (2018). Fast Counting in Machine Learning Applications. In UAI.
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