A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC

Keyphrases

• Convergence Analysis 100%
• Variance Reduction 100%
• Stochastic Gradient Markov Chain Monte Carlo 100%
• Stochastic Gradient MCMC 100%
• Convergence Rate 16%
• Mean Squared Error 16%
• Bayesian Learning 16%
• Error Bound 16%
• Markov Chain Monte Carlo Algorithm 16%
• Sampling Algorithm 16%
• Bayesian Sampling 16%
• Monte Carlo Framework 16%
• Large-scale Experiments 16%
• Logistic Regression 16%
• Stochastic Gradient 16%
• Deep Neural Network 16%
• Fast Convergence Rate 16%
• Algorithm Convergence 16%
• Stochastic Optimization 16%
• Computational Budget 16%

Mathematics

• Convergence Analysis 100%
• Variance Reduction 100%
• Stochastics 100%
• Markov Chain Monte Carlo 66%
• Bayesian 22%
• Convergence Rate 22%
• Superiority 11%
• Error Bound 11%
• Variance Reduction Technique 11%
• Logistic Regression 11%
• Number 11%
• Monte Carlo Algorithm 11%
• Deep Neural Network 11%
• Squared Error 11%