67 citations · 89 across the 9 of their papers we have counts for
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math.OC2023
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
Yang Jiao, Kai Yang, Dongjin Song
Distributionally Robust Optimization (DRO), which aims to find an optimal decision that minimizes the worst case cost over the ambiguity set of probability distribution, has been w…
cs.LG2023
Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks
Arunesh Mittal, Kai Yang, Paul Sajda +1
Several approximate inference methods have been proposed for deep discrete latent variable models. However, non-parametric methods which have previously been successfully employed…
cs.LG2023★ 67 cited
Unsupervised Deep Learning for IoT Time Series
Ya Liu, Yingjie Zhou, Kai Yang +1
IoT time series analysis has found numerous applications in a wide variety of areas, ranging from health informatics to network security. Nevertheless, the complex spatial temporal…