68 citations · 78 across the 13 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2019★ 3 cited
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal
Tung-Yu Wu, Y. X. Rachel Wang, Wing H. Wong
Traditional MCMC algorithms are computationally intensive and do not scale well to large data. In particular, the Metropolis-Hastings (MH) algorithm requires passing over the entir…
stat.ML2016
Convergence of Contrastive Divergence with Annealed Learning Rate in Exponential Family
Bai Jiang, Tung-yu Wu, Wing H. Wong
In our recent paper, we showed that in exponential family, contrastive divergence (CD) with fixed learning rate will give asymptotically consistent estimates \cite{wu2016convergenc…
stat.ML2016★ 2 cited
Convergence of Contrastive Divergence Algorithm in Exponential Family
Bai Jiang, Tung-Yu Wu, Yifan Jin +1
The Contrastive Divergence (CD) algorithm has achieved notable success in training energy-based models including Restricted Boltzmann Machines and played a key role in the emergenc…