This paper studies the online stochastic resource allocation problem (RA...
Maximizing a monotone submodular function is a fundamental task in machi...
In this paper, we revisit the online non-monotone continuous DR-submodul...
In this paper, we revisit the constrained and stochastic continuous
subm...
Motivated by many interesting real-world applications in logistics and o...
Adaptive learning rate methods have been successfully applied in many fi...
Training accurate deep neural networks (DNNs) in the presence of noisy l...
Unsupervised domain adaptation aims to transfer the classifier learned f...
Rank minimization (RM) is a wildly investigated task of finding solution...
Although stochastic gradient descent () method and its variants (e.g.,
s...