"likelihood-free inference" Papers
5 papers found
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
Luca Masserano, Alexander Shen, Michele Doro et al.
ICML 2024poster
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
Jiarong Pan, Stefan Falkner, Felix Berkenkamp et al.
ICML 2024spotlight
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
Longchao Da, Porter Jenkins, Trevor Schwantes et al.
AAAI 2024paperarXiv:2312.11551
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
Louis Sharrock, Jack Simons, Song Liu et al.
ICML 2024spotlight
Variational Inference with Coverage Guarantees in Simulation-Based Inference
Yash Patel, Declan McNamara, Jackson Loper et al.
ICML 2024poster