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09/02/2020
Self-supervised Smoothing Graph Neural Networks
This paper studies learning node representations with GNNs for unsupervi...
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03/09/2020
Nearly Optimal Risk Bounds for Kernel K-Means
In this paper, we study the statistical properties of the kernel k-means...
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03/09/2020
Risk Analysis of Divide-and-Conquer ERM
Theoretical analysis of the divide-and-conquer based distributed learnin...
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03/09/2020
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS
Theoretical analysis of the divide-and-conquer based distributed learnin...
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02/20/2020
Differentially Private ERM Based on Data Perturbation
In this paper, after observing that different training data instances af...
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05/27/2019
Dynamically Visual Disambiguation of Keyword-based Image Search
Due to the high cost of manual annotation, learning directly from the we...
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02/28/2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Deep learning, which is especially formidable in handling big data, has ...
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02/13/2019
Efficient Cross-Validation for Semi-Supervised Learning
Manifold regularization, such as laplacian regularized least squares (La...
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08/16/2018
On the Decision Boundary of Deep Neural Networks
While deep learning models and techniques have achieved great empirical ...
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06/08/2018
