Optimization and Bayes: A Trade-off for Overparameterized Neural Networks
No confident code implementation found for this paper. 1 possible match can be shown below.
No confident code implementation found for this paper. 1 possible match can be shown below.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
Auslan-Daily: Australian Sign Language Translation for Daily Communication and News
LOC3DIFF: Local Diffusion for 3D Human Head Synthesis and Editing
@article{hu2026optimization,
title = {Optimization and Bayes: A Trade-off for Overparameterized Neural Networks},
author = {Zhengmian Hu and Heng Huang},
year = {2026},
doi = {10.52202/075280-0594},
url = {https://doi.org/10.52202/075280-0594},
journal = {NEURIPS 2023 2023}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/3a2a018df625325ac0cbca9d0e643ddd4697ecfe)