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09/15/2023
Unified Risk Analysis for Weakly Supervised Learning
Among the flourishing research of weakly supervised learning (WSL), we r...
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02/28/2023
Asymptotically Optimal Thompson Sampling Based Policy for the Uniform Bandits and the Gaussian Bandits
Thompson sampling (TS) for the parametric stochastic multi-armed bandits...
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02/03/2023
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
In the stochastic multi-armed bandit problem, a randomized probability m...
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02/01/2019
Hyper-parameter Tuning under a Budget Constraint
We study a budgeted hyper-parameter tuning problem, where we optimize th...
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05/30/2017
