Xiyu Zhai - RankMe

15 papers A* 5Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neuro-Symbolic Generation and Validation of Memory-Aware Formal Function Specifications. CoRR Liao Zhang, Tong Chen, Xiwei Wu, Qi Liu, Xiyu Zhai, Xinqi Wang, Qinxiang Cao
2024	J	`jnl`	Transformers are Efficient Compilers, Provably. CoRR Xiyu Zhai, Runlong Zhou, Liao Zhang, Simon Shaolei Du
2020	A*	`conf`	On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels. COLT Tengyuan Liang, Alexander Rakhlin, Xiyu Zhai
2020	J	`jnl`	SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors. CoRR Mohammad Keshavarzi, Aakash Parikh, Xiyu Zhai, Melody Mao, Luisa Caldas, Allen Y. Yang
2019	A*	`conf`	Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon. COLT Alexander Rakhlin, Xiyu Zhai
2019	A*	`conf`	Gradient Descent Finds Global Minima of Deep Neural Networks. ICML Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai
2019	—	`conf`	Gradient Descent Provably Optimizes Over-parameterized Neural Networks. ICLR (Poster) Simon S. Du, Xiyu Zhai, Barnabás Póczos, Aarti Singh
2019	J	`jnl`	On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels. CoRR Tengyuan Liang, Alexander Rakhlin, Xiyu Zhai
2018	J	`jnl`	Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon. CoRR Alexander Rakhlin, Xiyu Zhai
2018	A*	`conf`	Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. COLT Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng
2018	J	`jnl`	Gradient Descent Finds Global Minima of Deep Neural Networks. CoRR Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai
2018	J	`jnl`	Gradient Descent Provably Optimizes Over-parameterized Neural Networks. CoRR Simon S. Du, Xiyu Zhai, Barnabás Póczos, Aarti Singh
2018	A*	`conf`	How Many Samples are Needed to Estimate a Convolutional Neural Network? NeurIPS Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh
2018	J	`jnl`	How Many Samples are Needed to Learn a Convolutional Neural Network? CoRR Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh
2017	J	`jnl`	Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. CoRR Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng