
Poisoning Attack against Estimating from Pairwise Comparisons
As pairwise ranking becomes broadly employed for elections, sports compe...
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On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization
The lowrank stochastic semidefinite optimization has attracted rising a...
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StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
The generation of stylish Chinese fonts is an important problem involved...
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DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Overparameterization is ubiquitous nowadays in training neural networks...
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FullyCorrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping
Boosting is a wellknown method for improving the accuracy of weak learn...
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Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
Learning representation from relative similarity comparisons, often call...
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Fast Polynomial Kernel Classification for Massive Data
In the era of big data, it is highly desired to develop efficient machin...
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Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence
Overparameterization is ubiquitous nowadays in training neural networks...
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A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning
Efficient training of deep neural networks (DNNs) is a challenge due to ...
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A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
Training deep neural networks (DNNs) efficiently is a challenge due to t...
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Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees
Training deep neural networks (DNNs) efficiently is a challenge due to t...
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Stochastic Nonconvex Ordinal Embedding with Stabilized BarzilaiBorwein Step Size
Learning representation from relative similarity comparisons, often call...
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Learning rates for classification with Gaussian kernels
This paper aims at refined error analysis for binary classification usin...
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Learning rates of l^q coefficient regularization learning with Gaussian kernel
Regularization is a well recognized powerful strategy to improve the per...
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Jinshan Zeng
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