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cs.LG2025
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
Sifan Yang, Yuanyu Wan, Lijun Zhang
We investigate the online nonsubmodular optimization with delayed feedback in the bandit setting, where the loss function is -weakly DR-submodular and -weakly DR-supermodular…
math.OC2025
Better Convergence Guarantees for Sign-Based Momentum Methods
Wei Jiang, Dingzhi Yu, Sifan Yang +3
This paper presents an improved analysis for sign-based methods with momentum updates. Traditional sign-based methods obtain a convergence rate of under the…
cs.LG2025
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
Wenhao Yang, Sifan Yang, Lijun Zhang
Reflecting the greater significance of recent history over the distant past in non-stationary environments, -discounted regret has been introduced in online convex optimization…