Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. - Wenlong Mou; Liwei Wang 001; Xiyu Zhai; Kai Zheng 007 (COLT, 2018)

How Many Samples are Needed to Estimate a Convolutional Neural Network? - Simon S. Du; Yining Wang 001; Xiyu Zhai; Sivaraman Balakrishnan; Ruslan Salakhutdinov; Aarti Singh (NeurIPS, 2018)

How Many Samples are Needed to Learn a Convolutional Neural Network? - Simon S. Du; Yining Wang 001; Xiyu Zhai; Sivaraman Balakrishnan; Ruslan Salakhutdinov; Aarti Singh (CoRR, 2018)

Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon. - Alexander Rakhlin; Xiyu Zhai (COLT, 2019)

Gradient Descent Provably Optimizes Over-parameterized Neural Networks. - Simon S. Du; Xiyu Zhai; Barnabás Póczos; Aarti Singh (ICLR (Poster), 2019)

Gradient Descent Finds Global Minima of Deep Neural Networks. - Simon S. Du; Jason D. Lee; Haochuan Li; Liwei Wang 001; Xiyu Zhai (ICML, 2019)

On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels. - Tengyuan Liang; Alexander Rakhlin; Xiyu Zhai (CoRR, 2019)

On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels. - Tengyuan Liang; Alexander Rakhlin; Xiyu Zhai (COLT, 2020)

SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors. - Mohammad Keshavarzi; Aakash Parikh; Xiyu Zhai; Melody Mao; Luisa Caldas; Allen Y. Yang (CoRR, 2020)

Transformers are Efficient Compilers, Provably. - Xiyu Zhai; Runlong Zhou; Liao Zhang; Simon Shaolei Du (CoRR, 2024)