Yi Zhang

Affiliations:
  • Princeton University, NJ, USA


According to our database1, Yi Zhang authored at least 16 papers between 2017 and 2022.

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Bibliography

2022
On Predicting Generalization using GANs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data.
CoRR, 2021

Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Sample Complexity Separation between Non-Convex and Convex Meta-Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Extreme Tensoring for Low-Memory Preconditioning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Full-Matrix Adaptive Regularization.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
The Case for Full-Matrix Adaptive Regularization.
CoRR, 2018

Spectral Filtering for General Linear Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Stronger Generalization Bounds for Deep Nets via a Compression Approach.
Proceedings of the 35th International Conference on Machine Learning, 2018

Do GANs learn the distribution? Some Theory and Empirics.
Proceedings of the 6th International Conference on Learning Representations, 2018

Towards Provable Control for Unknown Linear Dynamical Systems.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Theoretical limitations of Encoder-Decoder GAN architectures.
CoRR, 2017

Do GANs actually learn the distribution? An empirical study.
CoRR, 2017

Generalization and Equilibrium in Generative Adversarial Nets (GANs).
Proceedings of the 34th International Conference on Machine Learning, 2017


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