Fang Huang
Title
Cited by
Cited by
Year
Improved Bounded Matrix Completion for Large-Scale Recommender Systems.
H Fang, Z Zhang, Y Shao, CJ Hsieh
IJCAI, 1654-1660, 2017
132017
Fast training for large-scale one-versus-all linear classifiers using tree-structured initialization
H Fang, M Cheng, CJ Hsieh, M Friedlander
Proceedings of the 2019 SIAM International Conference on Data Mining, 280-288, 2019
72019
Online mirror descent and dual averaging: keeping pace in the dynamic case
H Fang, N Harvey, V Portella, M Friedlander
International Conference on Machine Learning, 3008-3017, 2020
52020
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization
H Fang, Z Fan, Y Sun, M Friedlander
International Conference on Artificial Intelligence and Statistics, 434-444, 2020
32020
A hyperplane-based algorithm for semi-supervised dimension reduction
H Fang, M Cheng, CJ Hsieh
2017 IEEE International Conference on Data Mining (ICDM), 101-110, 2017
32017
A. Facts and propositions
H Fang, NJA Harvey, VS Portella, MP Friedlander
31927
Fast convergence of stochastic subgradient method under interpolation
H Fang, Z Fan, M Friedlander
International Conference on Learning Representations, 2020
12020
Improving Fairness for Data Valuation in Federated Learning
Z Fan, H Fang, Z Zhou, J Pei, MP Friedlander, C Liu, Y Zhang
arXiv preprint arXiv:2109.09046, 2021
2021
Safe-screening rules for atomic-norm regularization
Z Fan, H Fang, MP Friedlander
arXiv preprint arXiv:2107.11373, 2021
2021
Efficient Greedy Coordinate Descent via Variable Partitioning
H Fang, G Fang, T Yu, P Li
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Articles 1–10