Stefan T. Radev
@stefanradev.bsky.social
Assistant Professor at Rensselaer Polytechnic Institute (RPI)
Bayesian | Computational guy | Name dropper | Deep learner | Book lover
Opinions are my own.
Bayesian | Computational guy | Name dropper | Deep learner | Book lover
Opinions are my own.
Reposted by Stefan T. Radev
4/ Amortized Bayesian Workflow (Extended Abstract)
jointly led by @marvinschmitt.com and @chengkunli.bsky.social , and with @avehtari.bsky.social @paulbuerkner.com @stefanradev.bsky.social
MCMC + amortized methods for the best of both worlds (speed & guarantees!)
arxiv.org/abs/2409.04332
jointly led by @marvinschmitt.com and @chengkunli.bsky.social , and with @avehtari.bsky.social @paulbuerkner.com @stefanradev.bsky.social
MCMC + amortized methods for the best of both worlds (speed & guarantees!)
arxiv.org/abs/2409.04332
Amortized Bayesian Workflow (Extended Abstract)
Bayesian inference often faces a trade-off between computational speed and sampling accuracy. We propose an adaptive workflow that integrates rapid amortized inference with gold-standard MCMC techniqu...
arxiv.org
December 7, 2024 at 8:50 AM
4/ Amortized Bayesian Workflow (Extended Abstract)
jointly led by @marvinschmitt.com and @chengkunli.bsky.social , and with @avehtari.bsky.social @paulbuerkner.com @stefanradev.bsky.social
MCMC + amortized methods for the best of both worlds (speed & guarantees!)
arxiv.org/abs/2409.04332
jointly led by @marvinschmitt.com and @chengkunli.bsky.social , and with @avehtari.bsky.social @paulbuerkner.com @stefanradev.bsky.social
MCMC + amortized methods for the best of both worlds (speed & guarantees!)
arxiv.org/abs/2409.04332