Yi Zhang - RankMe

25 papers A* 10Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	On Predicting Generalization using GANs. ICLR Yi Zhang, Arushi Gupta, Nikunj Saunshi, Sanjeev Arora
2021	J	`jnl`	On Predicting Generalization using GANs. CoRR Yi Zhang, Arushi Gupta, Nikunj Saunshi, Sanjeev Arora
2021	J	`jnl`	Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data. CoRR Sanjeev Arora, Yi Zhang
2021	A*	`conf`	Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? ICLR Zhiyuan Li, Yi Zhang, Sanjeev Arora
2020	A*	`conf`	A Sample Complexity Separation between Non-Convex and Convex Meta-Learning. ICML Nikunj Saunshi, Yi Zhang, Mikhail Khodak, Sanjeev Arora
2020	J	`jnl`	A Sample Complexity Separation between Non-Convex and Convex Meta-Learning. CoRR Nikunj Saunshi, Yi Zhang, Mikhail Khodak, Sanjeev Arora
2020	A*	`conf`	Extreme Tensoring for Low-Memory Preconditioning. ICLR Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang
2020	A*	`conf`	Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality. NeurIPS Yi Zhang, Orestis Plevrakis, Simon S. Du, Xingguo Li, Zhao Song, Sanjeev Arora
2020	J	`jnl`	Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality. CoRR Yi Zhang, Orestis Plevrakis, Simon S. Du, Xingguo Li, Zhao Song, Sanjeev Arora
2020	J	`jnl`	Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? CoRR Zhiyuan Li, Yi Zhang, Sanjeev Arora
2019	A*	`conf`	Efficient Full-Matrix Adaptive Regularization. ICML Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang
2019	A*	`conf`	Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. NeurIPS Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Rong Ge, Sanjeev Arora
2019	J	`jnl`	Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. CoRR Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Sanjeev Arora, Rong Ge
2019	J	`jnl`	Extreme Tensoring for Low-Memory Preconditioning. CoRR Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang
2018	—	`conf`	Do GANs learn the distribution? Some Theory and Empirics. ICLR (Poster) Sanjeev Arora, Andrej Risteski, Yi Zhang
2018	A*	`conf`	Spectral Filtering for General Linear Dynamical Systems. NeurIPS Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
2018	J	`jnl`	Spectral Filtering for General Linear Dynamical Systems. CoRR Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
2018	A*	`conf`	Stronger Generalization Bounds for Deep Nets via a Compression Approach. ICML Sanjeev Arora, Rong Ge, Behnam Neyshabur, Yi Zhang
2018	J	`jnl`	Stronger generalization bounds for deep nets via a compression approach. CoRR Sanjeev Arora, Rong Ge, Behnam Neyshabur, Yi Zhang
2018	J	`jnl`	The Case for Full-Matrix Adaptive Regularization. CoRR Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang
2018	—	`conf`	Towards Provable Control for Unknown Linear Dynamical Systems. ICLR (Workshop) Sanjeev Arora, Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
2017	J	`jnl`	Do GANs actually learn the distribution? An empirical study. CoRR Sanjeev Arora, Yi Zhang
2017	A*	`conf`	Generalization and Equilibrium in Generative Adversarial Nets (GANs). ICML Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang
2017	J	`jnl`	Generalization and Equilibrium in Generative Adversarial Nets (GANs). CoRR Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang
2017	J	`jnl`	Theoretical limitations of Encoder-Decoder GAN architectures. CoRR Sanjeev Arora, Andrej Risteski, Yi Zhang