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02/21/2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Node classification is a substantial problem in graph-based fraud detect...
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04/24/2020
Differential Network Learning Beyond Data Samples
Learning the change of statistical dependencies between random variables...
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11/29/2019
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
Because tensor data appear more and more frequently in various scientifi...
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11/29/2019
Sparse and Low-Rank Tensor Regression via Parallel Proximal Method
Motivated by applications in various scientific fields having demand of ...
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06/01/2018
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
We consider the problem of including additional knowledge in estimating ...
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10/30/2017
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
We focus on the problem of estimating the change in the dependency struc...
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04/24/2017
GaKCo: a Fast GApped k-mer string Kernel using COunting
String Kernel (SK) techniques, especially those using gapped k-mers as f...
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02/22/2017
DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
Recent studies have shown that deep neural networks (DNN) are vulnerable...
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02/09/2017
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
Estimating multiple sparse Gaussian Graphical Models (sGGMs) jointly for...
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12/01/2016
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Most machine learning classifiers, including deep neural networks, are v...
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08/12/2016
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
Deep neural network (DNN) models have recently obtained state-of-the-art...
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05/11/2016
