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math.OC2026
Robust Accelerated Adaptive Search: High-Probability Complexity Bounds under Bounded-Moment Stochastic Oracles
Shunzhi Zhang, Shichen Liao, Congying Han +1
We study unconstrained smooth convex optimization under stochastic first- and zeroth-order oracles subject only to finite-moment bounds, naturally admitting persistent bias and hea…
math.OC2026
Relating Checkpoint Update Probabilities to Momentum Parameters in Single-Loop Variance Reduction Methods
Hai Liu, Tiande Guo, Congying Han
We propose a single-loop variance-reduced acceleration framework, which relates checkpoint update probabilities to momentum parameters, for solving the composite general convex pro…