3 papers
stat.ML2026
Conditional neural control variates for variance reduction in Bayesian inverse problems
Ali Siahkoohi, Hyunwoo Oh
Bayesian inference for inverse problems involves computing expectations under posterior distributions--e.g., posterior means, variances, or predictive quantities--typically via Mon…
hep-lat2025
Training neural control variates using correlated configurations
Hyunwoo Oh
Neural control variates (NCVs) have emerged as a powerful tool for variance reduction in Monte Carlo (MC) simulations, particularly in high-dimensional problems where traditional c…
hep-lat2025
Control variates with neural networks
Hyunwoo Oh
The precision of lattice QCD calculations is often hindered by the stochastic noise inherent in these methods. The control variates method can provide an effective noise reduction…