
Convex Sparse Blind Deconvolution
In the blind deconvolution problem, we observe the convolution of an unk...
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A Robust and Generalized Framework for Adversarial Graph Embedding
Graph embedding is essential for graph mining tasks. With the prevalence...
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A Recipe for Global Convergence Guarantee in Deep Neural Networks
Existing global convergence guarantees of (stochastic) gradient descent ...
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SUGAR: Subgraph Neural Network with Reinforcement Pooling and SelfSupervised Mutual Information Mechanism
Graph representation learning has attracted increasing research attentio...
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GRAC: SelfGuided and SelfRegularized ActorCritic
Deep reinforcement learning (DRL) algorithms have successfully been demo...
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Pairwise Learning for Name Disambiguation in LargeScale Heterogeneous Academic Networks
Name disambiguation aims to identify unique authors with the same name. ...
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How to Close SimReal Gap? Transfer with Segmentation!
One fundamental difficulty in robotic learning is the simreal gap probl...
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Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
Stochastic version of alternating direction method of multiplier (ADMM) ...
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Degrees of Freedom Analysis of Unrolled Neural Networks
Unrolled neural networks emerged recently as an effective model for lear...
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Neural Proximal Gradient Descent for Compressive Imaging
Recovering highresolution images from limited sensory data typically le...
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Convolutional Imputation of Matrix Networks
A matrix network is a family of matrices, where the relationship between...
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Bayesian Opponent Exploitation in ImperfectInformation Games
Two fundamental problems in computational game theory are computing a Na...
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Qingyun Sun
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