Junchi Yang

According to our database, Junchi Yang authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps.

Junchi Yang, Murat Yildirim, Qiu Feng

CoRR, 2024

Parameter-Agnostic Optimization under Relaxed Smoothness.

Florian Hübler, Junchi Yang, Xiang Li, Niao He

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Towards Near-Optimal and Adaptive Algorithms in Minimax Optimization.

Junchi Yang

PhD thesis, 2023

Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization.

Liang Zhang, Junchi Yang, Amin Karbasi, Niao He

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.

Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He

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.

Xiang Li, Junchi Yang, Niao He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization.

Junchi Yang, Xiang Li, Niao He

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.

Junchi Yang, Antonio Orvieto, Aurélien Lucchi, Niao He

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

The complexity of nonconvex-strongly-concave minimax optimization.

Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He

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.

Junchi Yang, Negar Kiyavash, Niao He

CoRR, 2020

A Catalyst Framework for Minimax Optimization.

Junchi Yang, Siqi Zhang, Negar Kiyavash, Niao He

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.

Junchi Yang, Negar Kiyavash, Niao He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020