Accelerated Gradient Methods

Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates

We propose stochastic AC-FGM, a parameter-free accelerated method for stochastic composite convex optimization that is fully adaptive to the Lipschitz constant, iteration horizon, …

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Yao Ji

Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates

Talk at 2026 INFORMS Optimization Society Conference on stochastic AC-FGM, a parameter-free accelerated method achieving optimal convergence rates.

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Yao Ji