4 papers · 1 filter
Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs
Masaki Adachi, Anita Yang, Yakun Wang +1
Guided-diffusion black-box optimization (BO) has shown strong empirical performance on structured design problems such as molecules and crystals, but its regret behavior remains po…
Minimum Distance Summaries for Robust Neural Posterior Estimation
Sherman Khoo, Dennis Prangle, Song Liu +1
Simulation-based inference (SBI) enables amortized Bayesian inference by first training a neural posterior estimator (NPE) on prior-simulator pairs, typically through low-dimension…
Self-sufficient Independent Component Analysis for Demixing Flows
Song Liu
We study the problem of learning disentangled signals from data using non-linear Independent Component Analysis (ICA). Motivated by advances in self-supervised learning, we propose…
Direct Fisher Score Estimation for Likelihood Maximization
Sherman Khoo, Yakun Wang, Song Liu +1
We study the problem of likelihood maximization when the likelihood function is intractable but model simulations are readily available. We propose a sequential, gradient-based opt…