On the Computational and Statistical Efficiency of the Empirical Maximum Entropy on the Mean Method
It is shown that the MEM dual problem admits a reformulation as an expected risk minimization problem, thereby placing MEM within the modern framework of stochastic optimization and enabling scalable stochastic gradient algorithms for large-scale inverse problems.
Matthew King-Roskamp, Gabriel Rioux, R. Choksi et al.
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