https://deepai.org/publication/augmented-tensor-decomposition-with-stochastic-optimization
06/15/21 - Tensor decompositions are powerful tools for dimensionality reduction and feature interpretation of multidimensional data such as ...
tensor decompositionstochastic optimizationaugmented
https://deepai.org/publication/private-stochastic-convex-optimization-with-optimal-rates
08/27/19 - We study differentially private (DP) algorithms for stochastic convex optimization (SCO). In this problem the goal is to approxima...
convex optimizationprivatestochasticoptimalrates
https://www.abebooks.com/9780387951669/Fundamentals-Queueing-Networks-Performance-Asymptotics-0387951660/plp
The objective of this book is to collect in a single volume the essentials of stochastic networks, from the classical product-form theory to the more re cent...
stochastic modellingfundamentalsqueueingnetworksperformance