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03/07/2021
Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods
Stochastically controlled stochastic gradient (SCSG) methods have been p...
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12/31/2020
Federated Nonconvex Sparse Learning
Nonconvex sparse learning plays an essential role in many areas, such as...
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11/02/2020
Asynchronous Parallel Stochastic Quasi-Newton Methods
Although first-order stochastic algorithms, such as stochastic gradient ...
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09/14/2020
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning
Sparse learning is a very important tool for mining useful information a...
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09/14/2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data
Federated learning allows loads of edge computing devices to collaborati...
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08/02/2019
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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02/21/2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
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01/26/2019
Cascade LSTM Based Visual-Inertial Navigation for Magnetic Levitation Haptic Interaction
Haptic feedback is essential to acquire immersive experience when intera...
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01/24/2019