Hybrid Population Monte CarloIEEE Transactions on Signal Processing (IEEE TSP), 2024 |
A Proximal Newton Adaptive Importance SamplerIEEE Signal Processing Letters (SPL), 2024 |
Gradient-based Adaptive Importance SamplersJournal of the Franklin Institute (JFI), 2022 |
Efficient Bayes Inference in Neural Networks through Adaptive Importance
SamplingJournal of the Franklin Institute (JFI), 2022 |
Hamiltonian Adaptive Importance SamplingIEEE Signal Processing Letters (SPL), 2022 |
A Survey of Monte Carlo Methods for Parameter EstimationEURASIP Journal on Advances in Signal Processing (EURASIP JASP), 2020 |
MCMC-driven importance samplersApplied Mathematical Modelling (AMM), 2021 |
Importance Gaussian QuadratureIEEE Transactions on Signal Processing (TSP), 2020 |