Tyler B. Johnson

According to our database, Tyler B. Johnson authored at least 6 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

AdaScale SGD: A User-Friendly Algorithm for Distributed Training.

Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems.

Tyler B. Johnson, Carlos Guestrin

CoRR, 2018

Training Deep Models Faster with Robust, Approximate Importance Sampling.

Tyler B. Johnson, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent.

Tyler B. Johnson, Carlos Guestrin

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization.

Tyler B. Johnson, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization.

Tyler B. Johnson, Carlos Guestrin

Proceedings of the 32nd International Conference on Machine Learning, 2015