The TSG method is the first stochastic gradient algorithm for trilevel optimization, with a convergence rate of O(J/√I) under strong-convexity assumptions on the two lower levels.
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A stochastic gradient method for trilevel optimization
The TSG method is the first stochastic gradient algorithm for trilevel optimization, with a convergence rate of O(J/√I) under strong-convexity assumptions on the two lower levels.