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Tyler B. Johnson

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2020 – today

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2020
[c5]
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  - conf/icml/JohnsonAGG20
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Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin:
AdaScale SGD: A User-Friendly Algorithm for Distributed Training. ICML 2020: 4911-4920
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  - journals/corr/abs-2007-05105
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Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin:
AdaScale SGD: A User-Friendly Algorithm for Distributed Training. CoRR abs/2007.05105 (2020)

2010 – 2019

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2018
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Tyler B. Johnson, Carlos Guestrin:
Training Deep Models Faster with Robust, Approximate Importance Sampling. NeurIPS 2018: 7276-7286
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  - journals/corr/abs-1807-08046
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Tyler B. Johnson, Carlos Guestrin:
A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems. CoRR abs/1807.08046 (2018)
2017
[c3]
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Tyler B. Johnson, Carlos Guestrin:
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent. ICML 2017: 1752-1760
2016
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Tyler B. Johnson, Carlos Guestrin:
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization. NIPS 2016: 4754-4762
2015
[c1]
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Tyler B. Johnson, Carlos Guestrin:
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization. ICML 2015: 1171-1179

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