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01/15/2022
Recursive Least Squares Advantage Actor-Critic Algorithms
As an important algorithm in deep reinforcement learning, advantage acto...
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01/13/2022
Recursive Least Squares for Training and Pruning Convolutional Neural Networks
Convolutional neural networks (CNNs) have succeeded in many practical ap...
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10/20/2021
Distributionally Robust Semi-Supervised Learning Over Graphs
Semi-supervised learning (SSL) over graph-structured data emerges in man...
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09/18/2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Filter pruning is one of the most effective ways to accelerate and compr...
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06/05/2019
On the Convergence of SARAH and Beyond
The main theme of this work is a unifying algorithm, abbreviated as L2S,...
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05/24/2019
Tight Linear Convergence Rate of ADMM for Decentralized Optimization
The present paper considers leveraging network topology information to i...
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04/06/2018
Fast Decentralized Optimization over Networks
The present work introduces the hybrid consensus alternating direction m...
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11/28/2017
Kernel-based Inference of Functions over Graphs
The study of networks has witnessed an explosive growth over the past de...
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05/23/2016
