Xuran Meng

According to our database1, Xuran Meng authored at least 9 papers between 2021 and 2025.

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

Timeline

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Links

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Bibliography

2025
Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks.
CoRR, April, 2025

Transformer Learns Optimal Variable Selection in Group-Sparse Classification.
CoRR, April, 2025

Per-example gradient regularization improves learning signals from noisy data.
Mach. Learn., March, 2025

Transformer Learns Optimal Variable Selection in Group-Sparse Classification.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Multiple Descent in the Multiple Random Feature Model.
J. Mach. Learn. Res., 2024

Initialization Matters: On the Benign Overfitting of Two-Layer ReLU CNN with Fully Trainable Layers.
CoRR, 2024

Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping.
J. Mach. Learn. Res., 2023

2021
Implicit Data-Driven Regularization in Deep Neural Networks under SGD.
CoRR, 2021


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