关注
Bokun Wang
Bokun Wang
在 tamu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Towards Fair Deep Clustering With Multi-State Protected Variables
B Wang, I Davidson
ICML Workshop on the Security and Privacy of Machine Learning, 2019
272019
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
H Yu, L Wang, B Wang, M Liu, T Yang, S Ji
International Conference on Machine Learning, 25684-25701, 2022
232022
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
K Mishchenko, B Wang, D Kovalev, P Richtárik
International Conference on Learning Representations, 2022
23*2022
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
B Wang, T Yang
International Conference on Machine Learning, 2022
222022
When auc meets dro: Optimizing partial auc for deep learning with non-convex convergence guarantee
D Zhu, G Li, B Wang, X Wu, T Yang
International Conference on Machine Learning, 27548-27573, 2022
202022
Riemannian stochastic proximal gradient methods for nonsmooth optimization over the Stiefel manifold
B Wang, S Ma, L Xue
Journal of Machine Learning Research, 2022
182022
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning.
B Wang, Z Yuan, Y Ying, T Yang
J. Mach. Learn. Res. 24, 145:1-145:46, 2023
11*2023
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques
B Wang, M Safaryan, P Richtárik
Conference on Neural Information Processing Systems (NeurIPS), 2022
10*2022
Everything perturbed all at once: Enabling differentiable graph attacks
H Liu, B Wang, J Wang, X Dong, T Yang, J Caverlee
TheWebConf, Short Paper Track, 2023
12023
ALEXR: Optimal Single-Loop Algorithms for Convex Finite-Sum Coupled Compositional Stochastic Optimization
B Wang, T Yang
arXiv preprint arXiv:2312.02277, 2023
2023
系统目前无法执行此操作,请稍后再试。
文章 1–10