Junchi Yang

According to our database1, Junchi Yang authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Parameter-Agnostic Optimization under Relaxed Smoothness.
CoRR, 2023

Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
The complexity of nonconvex-strongly-concave minimax optimization.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems.
CoRR, 2020

A Catalyst Framework for Minimax Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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