Guodong Zhang
Affiliations:- University of Toronto, Department of Computer Science, Vector Institute, Toronto, Canada
According to our database1,
Guodong Zhang
authored at least 20 papers
between 2018 and 2022.
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Bibliography
2022
Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints.
J. Mach. Learn. Res., 2021
Don't Fix What ain't Broke: Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
CoRR, 2019
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018