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Liang Zhang
Liang Zhang
ETH Zurich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
GCN-LASE: Towards adequately incorporating link attributes in graph convolutional networks
Z Li, L Zhang, G Song
Proceedings of the 28th International Joint Conference on Artificial …, 2019
212019
Sepne: Bringing separability to network embedding
Z Li, L Zhang, G Song
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4261-4268, 2019
142019
Bring your own algorithm for optimal differentially private stochastic minimax optimization
L Zhang, KK Thekumparampil, S Oh, N He
Advances in Neural Information Processing Systems 35, 35174-35187, 2022
122022
DPZero: Private Fine-Tuning of Language Models without Backpropagation
L Zhang, B Li, KK Thekumparampil, S Oh, N He
Forty-first International Conference on Machine Learning, 2024
5*2024
Variance reduction for non-convex stochastic optimization: General analysis and new applications
L Zhang
ETH Zurich, 2021
52021
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
S Zhang*, Y Hu*, L Zhang, N He
International Conference on Artificial Intelligence and Statistics 238, 694--702, 2024
3*2024
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
L Zhang*, J Yang*, A Karbasi, N He
Advances in Neural Information Processing Systems 36, 17527--17566, 2023
22023
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
B Li, L Zhang, N He
ICML 2024 Workshop on Theoretical Foundations of Foundation Models, 2024
2024
A Hessian-Aware Stochastic Differential Equation for Modelling SGD
X Li, Z Shen, L Zhang, N He
arXiv preprint arXiv:2405.18373, 2024
2024
Primal Methods for Variational Inequality Problems with Functional Constraints
L Zhang, N He, M Muehlebach
arXiv preprint arXiv:2403.12859, 2024
2024
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