Ryan Spring

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▷ joint publications with Anshumali Shrivastava

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Publications

2020
[c8]
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  - conf/ijcai/SpringS20
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Ryan Spring, Anshumali Shrivastava:
Mutual Information Estimation using LSH Sampling. IJCAI 2020: 2807-2815
2019
[c7]
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  - conf/icml/SpringKMS19
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Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava:
Compressing Gradient Optimizers via Count-Sketches. ICML 2019: 5946-5955
[i4]
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  - journals/corr/abs-1902-00179
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Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava:
Compressing Gradient Optimizers via Count-Sketches. CoRR abs/1902.00179 (2019)
2018
[c6]
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  - conf/iclr/SpringS18
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Ryan Spring, Anshumali Shrivastava:
Scalable Estimation via LSH Samplers (LSS). ICLR (Workshop) 2018
[c5]
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  - conf/icml/AghazadehSLDSB18
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Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk:
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. ICML 2018: 80-88
[i3]
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  - journals/corr/abs-1806-04310
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Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk:
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches. CoRR abs/1806.04310 (2018)
2017
[c3]
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  - conf/kdd/SpringS17
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Ryan Spring, Anshumali Shrivastava:
Scalable and Sustainable Deep Learning via Randomized Hashing. KDD 2017: 445-454
[i2]
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  - journals/corr/SpringS17
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Ryan Spring, Anshumali Shrivastava:
A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models. CoRR abs/1703.05160 (2017)
2016
[i1]
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  - journals/corr/SpringS16
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Ryan Spring, Anshumali Shrivastava:
Scalable and Sustainable Deep Learning via Randomized Hashing. CoRR abs/1602.08194 (2016)

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