Kuangyu Ding

According to our database1, Kuangyu Ding authored at least 6 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2023
2024
0
1
2
3
4
3
3

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Memory-Efficient 4-bit Preconditioned Stochastic Optimization.
CoRR, 2024

Optimization Hyper-parameter Laws for Large Language Models.
CoRR, 2024

Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization.
CoRR, 2024

2023
On proximal augmented Lagrangian based decomposition methods for dual block-angular convex composite programming problems.
Comput. Optim. Appl., September, 2023

Adam-family Methods with Decoupled Weight Decay in Deep Learning.
CoRR, 2023

Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning.
CoRR, 2023


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