Junjie Yang
Junjie Yang
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Bilevel optimization: Convergence analysis and enhanced design
K Ji, J Yang, Y Liang
International conference on machine learning, 4882-4892, 2021
Provably faster algorithms for bilevel optimization
J Yang, K Ji, Y Liang
Advances in Neural Information Processing Systems 34, 13670-13682, 2021
Multi-step model-agnostic meta-learning: Convergence and improved algorithms
K Ji, J Yang, Y Liang
arXiv preprint arXiv:2002.07836 2, 2020
Sgd converges to global minimum in deep learning via star-convex path
Y Zhou, J Yang, H Zhang, Y Liang, V Tarokh
arXiv preprint arXiv:1901.00451, 2019
A machine learning approach to user association in enterprise small cell networks
J Yang, C Wang, X Wang, C Shen
2018 IEEE/CIC International Conference on Communications in China (ICCC …, 2018
Learning to Generalize Provably in Learning to Optimize
J Yang, T Chen, M Zhu, F He, D Tao, Y Liang, Z Wang
International Conference on Artificial Intelligence and Statistics, 9807-9825, 2023
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
J Yang, X Chen, T Chen, Z Wang, Y Liang
arXiv preprint arXiv:2303.00039, 2023
Rethinking PGD Attack: Is Sign Function Necessary?
J Yang, T Chen, X Chen, Z Wang, Y Liang
arXiv preprint arXiv:2312.01260, 2023
Meta ControlNet: Enhancing Task Adaptation via Meta Learning
J Yang, J Zhao, P Wang, Z Wang, Y Liang
arXiv preprint arXiv:2312.01255, 2023
Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study
C Chen, J Yang, Y Zhou
2020 IEEE International Conference on Big Data (Big Data), 141-146, 2020
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