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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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01/05/2021
A Symmetric Loss Perspective of Reliable Machine Learning
When minimizing the empirical risk in binary classification, it is a com...
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10/10/2019
Learning Only from Relevant Keywords and Unlabeled Documents
We consider a document classification problem where document labels are ...
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01/30/2019
Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation
We address the problem of measuring the difference between two domains i...
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01/27/2019