research
∙
06/13/2022
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling
In this paper, we study the computational complexity of sampling from a ...
share
research
∙
10/08/2021
Learning Topic Models: Identifiability and Finite-Sample Analysis
Topic models provide a useful text-mining tool for learning, extracting ...
research
∙
04/11/2019
Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing
In mobile edge computing, edge servers are geographically distributed ar...
research
∙
03/22/2019
