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Found 3 papers, 0 papers with code
On the approximation error for approximating convex bodies using multiobjective optimization
An MOCP can be solved approximately by Benson type algorithms, which compute outer and inner polyhedral approximations of the problem's upper image.
Multiobjective Optimization
Optimization and Control
Latent Dirichlet Allocation Model Training with Differential Privacy
To address the privacy issue in LDA, we systematically investigate the privacy protection of the main-stream LDA training algorithm based on Collapsed Gibbs Sampling (CGS) and propose several differentially private LDA algorithms for typical training scenarios.
On Privacy Protection of Latent Dirichlet Allocation Model Training
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for discovery of hidden semantic architecture of text datasets, and plays a fundamental role in many machine learning applications.
