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Feel-Good Thompson Sampling for Contextual Dueling Bandits
In this paper, we propose a Thompson sampling algorithm, named FGTS. CDB, for linear contextual dueling bandits.
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
Additionally, when our analysis is specialized to linear regression in the strongly convex setting, it yields a tighter bound for bias error than the best-known result.
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