Hao-Jun Michael Shi

According to our database¹, Hao-Jun Michael Shi authored at least 10 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2023

On the numerical performance of finite-difference-based methods for derivative-free optimization.

[BibT_eX]

[DOI]

Optim. Methods Softw., March, 2023

A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., August, 2022

A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2022

2020

Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Deep Learning Recommendation Model for Personalization and Recommendation Systems.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Optimizing Quantization for Lasso Recovery.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

A Progressive Batching L-BFGS Method for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

Practical Algorithms for Learning Near-Isometric Linear Embeddings.

[BibT_eX]

[DOI]

CoRR, 2016

Methods for quantized compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the 2016 Information Theory and Applications Workshop, 2016

Hao-Jun Michael Shi

Timeline

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Bibliography

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