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Books and Theses
- 2023
[b1]Junchi Yang:
Towards Near-Optimal and Adaptive Algorithms in Minimax Optimization. ETH Zurich, Zürich, Switzerland, 2023
Conference and Workshop Papers
- 2024
- [c9]Florian Hübler, Junchi Yang, Xiang Li, Niao He:
Parameter-Agnostic Optimization under Relaxed Smoothness. AISTATS 2024: 4861-4869 - 2023
- [c8]Xiang Li, Junchi Yang, Niao He:
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization. ICLR 2023 - [c7]Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He:
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods. NeurIPS 2023 - [c6]Liang Zhang, Junchi Yang, Amin Karbasi, Niao He:
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization. NeurIPS 2023 - 2022
- [c5]Junchi Yang, Antonio Orvieto, Aurélien Lucchi, Niao He:
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity. AISTATS 2022: 5485-5517 - [c4]Junchi Yang, Xiang Li, Niao He:
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization. NeurIPS 2022 - 2021
- [c3]Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He:
The complexity of nonconvex-strongly-concave minimax optimization. UAI 2021: 482-492 - 2020
- [c2]Junchi Yang, Negar Kiyavash, Niao He:
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems. NeurIPS 2020 - [c1]Junchi Yang, Siqi Zhang, Negar Kiyavash, Niao He:
A Catalyst Framework for Minimax Optimization. NeurIPS 2020
Informal and Other Publications
- 2024
- [i9]Junchi Yang, Murat Yildirim, Qiu Feng:
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps. CoRR abs/2407.02689 (2024) - 2023
- [i8]Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He:
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods. CoRR abs/2305.12475 (2023) - [i7]Liang Zhang, Junchi Yang, Amin Karbasi, Niao He:
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization. CoRR abs/2310.17759 (2023) - [i6]Florian Hübler, Junchi Yang, Xiang Li, Niao He:
Parameter-Agnostic Optimization under Relaxed Smoothness. CoRR abs/2311.03252 (2023) - 2022
- [i5]Junchi Yang, Xiang Li, Niao He:
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization. CoRR abs/2206.00743 (2022) - [i4]Xiang Li, Junchi Yang, Niao He:
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization. CoRR abs/2210.17478 (2022) - 2021
- [i3]Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He:
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization. CoRR abs/2103.15888 (2021) - [i2]Junchi Yang, Antonio Orvieto, Aurélien Lucchi, Niao He:
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity. CoRR abs/2112.05604 (2021) - 2020
- [i1]Junchi Yang, Negar Kiyavash, Niao He:
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems. CoRR abs/2002.09621 (2020)
Coauthor Index
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