10 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.LG2018★ 1 cited
The Theory and Algorithm of Ergodic Inference
Yichuan Zhang
Approximate inference algorithm is one of the fundamental research fields in machine learning. The two dominant theoretical inference frameworks in machine learning are variational…
cs.LG2018★ 5 cited
Ergodic Inference: Accelerate Convergence by Optimisation
Yichuan Zhang, José Miguel Hernández-Lobato
Statistical inference methods are fundamentally important in machine learning. Most state-of-the-art inference algorithms are variants of Markov chain Monte Carlo (MCMC) or variati…
stat.CO2014★ 10 cited
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
Yichuan Zhang, Charles Sutton
Sampling from hierarchical Bayesian models is often difficult for MCMC methods, because of the strong correlations between the model parameters and the hyperparameters. Recent Riem…