Kevin Luk

According to our database¹, Kevin Luk authored at least 4 papers between 2018 and 2020.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Bibliography

2020

An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise.

[BibT_eX]

[DOI]

CoRR, 2019

2018

A Coordinate-Free Construction of Scalable Natural Gradient.

[BibT_eX]

[DOI]

Kevin Luk

Roger B. Grosse

CoRR, 2018

Scalable Recommender Systems through Recursive Evidence Chains.

[BibT_eX]

[DOI]

CoRR, 2018

Kevin Luk

Timeline

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Bibliography

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