
An Efficient Algorithm for Deep Stochastic Contextual Bandits
In stochastic contextual bandit (SCB) problems, an agent selects an acti...
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Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods
Stochastically controlled stochastic gradient (SCSG) methods have been p...
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Discrete Graph Structure Learning for Forecasting Multiple Time Series
Time series forecasting is an extensively studied subject in statistics,...
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Federated Nonconvex Sparse Learning
Nonconvex sparse learning plays an essential role in many areas, such as...
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Asynchronous Parallel Stochastic QuasiNewton Methods
Although firstorder stochastic algorithms, such as stochastic gradient ...
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Effective Proximal Methods for Nonconvex Nonsmooth Regularized Learning
Sparse learning is a very important tool for mining useful information a...
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Effective Federated Adaptive Gradient Methods with NonIID Decentralized Data
Federated learning allows loads of edge computing devices to collaborati...
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MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks
Deep learning or deep neural networks (DNNs) have nowadays enabled high ...
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Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
The Alternating Direction Method of Multipliers (ADMM) and its distribut...
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Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance
Although adaptive gradient methods (AGMs) have fast speed in training de...
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CommunicationOptimal Distributed Dynamic Graph Clustering
We consider the problem of clustering graph nodes over largescale dynam...
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Endtoend StructureAware Convolutional Networks for Knowledge Base Completion
Knowledge graph embedding has been an active research topic for knowledg...
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Edge Attentionbased MultiRelational Graph Convolutional Networks
Graph convolutional network (GCN) is generalization of convolutional neu...
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A Survey on MultiView Clustering
With the fast development of information technology, especially the popu...
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VIGAN: Missing View Imputation with Generative Adversarial Networks
In an era when big data are becoming the norm, there is less concern wit...
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Classification of Neurological Gait Disorders Using Multitask Feature Learning
As our population ages, neurological impairments and degeneration of the...
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Jinbo Bi
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