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stat.ML2020
How Good is the Bayes Posterior in Deep Neural Networks Really?
Florian Wenzel, Kevin Roth, Bastiaan S. Veeling +7
During the past five years the Bayesian deep learning community has developed increasingly accurate and efficient approximate inference procedures that allow for Bayesian inference…
stat.ML2019
Solve fraud detection problem by using graph based learning methods
Loc Tran, Tuan Tran, Linh Tran +1
The credit cards' fraud transactions detection is the important problem in machine learning field. To detect the credit cards's fraud transactions help reduce the significant loss…
stat.ML2018
Un-normalized hypergraph p-Laplacian based semi-supervised learning methods
Loc Hoang Tran, Linh Hoang Tran
Most network-based machine learning methods assume that the labels of two adjacent samples in the network are likely to be the same. However, assuming the pairwise relationship bet…