60 citations · 541 across the 61 of their papers we have counts for
7 papers · 1 filter
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining
Wenhan Xian, Feihu Huang, Heng Huang
Distributed data mining is an emerging research topic to effectively and efficiently address hard data mining tasks using big data, which are partitioned and computed on different…
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
Alireza Ganjdanesh, Shangqian Gao, Heng Huang
Convolutional Neural Networks (CNNs) compression is crucial to deploying these models in edge devices with limited resources. Existing channel pruning algorithms for CNNs have achi…
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification
Runxue Bao, Bin Gu, Heng Huang
Sparsity regularized loss minimization problems play an important role in various fields including machine learning, data mining, and modern statistics. Proximal gradient descent m…
Balanced Self-Paced Learning for AUC Maximization
Bin Gu, Chenkang Zhang, Huan Xiong +1
Learning to improve AUC performance is an important topic in machine learning. However, AUC maximization algorithms may decrease generalization performance due to the noisy data. S…
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction
Junyi Li, Feihu Huang, Heng Huang
Bilevel Optimization has witnessed notable progress recently with new emerging efficient algorithms and has been applied to many machine learning tasks such as data cleaning, few-s…
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization
Runxue Bao, Xidong Wu, Wenhan Xian +1
Distributed optimization has been widely used as one of the most efficient approaches for model training with massive samples. However, large-scale learning problems with both mass…
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm
Qingsong Zhang, Bin Gu, Zhiyuan Dang +2
Vertical federated learning (VFL) attracts increasing attention due to the emerging demands of multi-party collaborative modeling and concerns of privacy leakage. A complete list o…