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cs.LG2026
Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization
Ming Sun, Kun Yuan
Decentralized stochastic optimization is a fundamental paradigm for large-scale learning over networks, where agents communicate only with their neighbors and no central coordinato…
cs.LG2026
Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation
Mingfei Sun
Natural policy gradients improve optimization by accounting for the geometry of distribution space, but their practical use is limited by the cost of estimating and inverting the F…