most citedUsing Neural Networks to improve classical Operating System Fingerprinting techniques

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cs.LG2023

U-Statistics for Importance-Weighted Variational Inference

Javier Burroni, Kenta Takatsu, Justin Domke +1

We propose the use of U-statistics to reduce variance for gradient estimation in importance-weighted variational inference. The key observation is that, given a base gradient estim…

cs.LG2023

Automatically Marginalized MCMC in Probabilistic Programming

Jinlin Lai, Javier Burroni, Hui Guan +1

Hamiltonian Monte Carlo (HMC) is a powerful algorithm to sample latent variables from Bayesian models. The advent of probabilistic programming languages (PPLs) frees users from wri…