Yiwen Kou

According to our database1, Yiwen Kou authored at least 9 papers between 2022 and 2024.

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Bibliography

2024
Matching the Statistical Query Lower Bound for k-sparse Parity Problems with Stochastic Gradient Descent.
CoRR, 2024

Guided Discrete Diffusion for Electronic Health Record Generation.
CoRR, 2024

2023
Fast Sampling via De-randomization for Discrete Diffusion Models.
CoRR, 2023

Benign Overfitting for Two-layer ReLU Networks.
CoRR, 2023

Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Benign Overfitting in Two-layer ReLU Convolutional Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Certified Adversarial Robustness Under the Bounded Support Set.
Proceedings of the International Conference on Machine Learning, 2022


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