research
∙
07/13/2022
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
Importance Sampling (IS) is a method for approximating expectations unde...
share
research
∙
11/04/2021
Ex^2MCMC: Sampling through Exploration Exploitation
We develop an Explore-Exploit Markov chain Monte Carlo algorithm (Ex^2MC...
research
∙
06/30/2021
Monte Carlo Variational Auto-Encoders
Variational auto-encoders (VAE) are popular deep latent variable models ...
research
∙
03/17/2021
Invertible Flow Non Equilibrium sampling
Simultaneously sampling from a complex distribution with intractable nor...
research
∙
12/31/2020
Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees
Markov Chain Monte Carlo (MCMC) is a class of algorithms to sample compl...
research
∙
02/27/2020
