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math.OC2026
Safeguarded Accelerated Adaptive Search under Unreliable Gradient Oracles
Shunzhi Zhang, Shichen Liao, Congying Han +1
From the probabilistic-model viewpoint, stochastic adaptive search can require any fraction of the predicted model reduction for acceptance. Classical backtracking with…
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…