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Near Optimal Provable Uniform Convergence in Off-Policy Evaluation for Reinforcement Learning
The Off-Policy Evaluation aims at estimating the performance of target p...
07/07/2020 ∙ by Ming Yin, et al. ∙
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Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning
We consider the problem of off-policy evaluation for reinforcement learn...
01/29/2020 ∙ by Ming Yin, et al. ∙
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Shared Generative Latent Representation Learning for Multi-view Clustering
Clustering multi-view data has been a fundamental research topic in the ...
07/23/2019 ∙ by Ming Yin, et al. ∙
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Working in Pairs: Understanding the Effects of Worker Interactions in Crowdwork
Crowdsourcing has gained popularity as a tool to harness human brain pow...
10/23/2018 ∙ by Chien-Ju Ho, et al. ∙
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Low-rank Multi-view Clustering in Third-Order Tensor Space
The plenty information from multiple views data as well as the complemen...
08/30/2016 ∙ by Ming Yin, et al. ∙
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Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices
Due to its promising classification performance, sparse representation b...
01/27/2016 ∙ by Ming Yin, et al. ∙
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Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
Sparse subspace clustering (SSC), as one of the most successful subspace...
01/04/2016 ∙ by Ming Yin, et al. ∙
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Representing data by sparse combination of contextual data points for classification
In this paper, we study the problem of using contextual da- ta points of...
06/30/2015 ∙ by Jingyan Wang, et al. ∙
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