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2020 – today
- 2024
[i8]Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu:
Combining Rollout Designs and Clustering for Causal Inference under Low-order Interference. CoRR abs/2405.05119 (2024)- 2023
- [c6]Siddhartha Banerjee
, Matthew Eichhorn, David Kempe:
Allocating with Priorities and Quotas: Algorithms, Complexity, and Dynamics. EC 2023: 209-240 - 2022
- [c5]Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu:
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge. NeurIPS 2022 - [c4]Matthew Eichhorn, Siddhartha Banerjee, David Kempe:
Online Team Formation Under Different Synergies. WINE 2022: 78-95 - [i7]Siddhartha Banerjee, Matthew Eichhorn, David Kempe:
Fair and Efficient Allocation with Quotas. CoRR abs/2204.13019 (2022) - [i6]Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu:
Graph Agnostic Estimators with Staggered Rollout Designs under Network Interference. CoRR abs/2205.14552 (2022) - [i5]Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu:
Exploiting neighborhood interference with low order interactions under unit randomized design. CoRR abs/2208.05553 (2022) - [i4]Matthew Eichhorn, Siddhartha Banerjee, David Kempe:
Online Team Formation under Different Synergies. CoRR abs/2210.05795 (2022) - 2021
- [j1]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): 179-191 (2021) - 2020
- [c3]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 - [i3]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 abs/2012.14966 (2020)
2010 – 2019
- 2019
- [c2]Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré:
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. ICML 2019: 1517-1527 - [i2]Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré:
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. CoRR abs/1903.05895 (2019) - 2018
- [c1]Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola:
Fast Counting in Machine Learning Applications. UAI 2018: 540-549 - [i1]Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola:
Fast Counting in Machine Learning Applications. CoRR abs/1804.04640 (2018)
Coauthor Index
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