The Multi-Block DC class admits polynomial-size DC decompositions for problems that require exponential size under standard DC programming and supplies explicit constructive formulations for deep ReLU networks together with convergent batch and stochastic algorithms.
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math.OC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A free-energy variational formulation for distributionally robust optimal control under generative model ambiguity, with a convergent algorithm for the resulting non-convex problem.
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The Multi-Block DC Function Class: Theory, Algorithms, and Applications
The Multi-Block DC class admits polynomial-size DC decompositions for problems that require exponential size under standard DC programming and supplies explicit constructive formulations for deep ReLU networks together with convergent batch and stochastic algorithms.
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Free-Energy Minimizing Policies Under Generative Model Ambiguity
A free-energy variational formulation for distributionally robust optimal control under generative model ambiguity, with a convergent algorithm for the resulting non-convex problem.