normalizing constant

Counterfactual Density Estimation using Kernel Stein Discrepancies ICLR 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Particle Denoising Diffusion Sampler ICML 2024 Denoising Diffusion Samplers ICLR 2023 Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond NeurIPS 2023 Squared Neural Families: A New Class of Tractable Density Models NeurIPS 2023 Estimating Density Models with Truncation Boundaries using Score Matching JMLR 2022 Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants NeurIPS 2022 Annealed Flow Transport Monte Carlo ICML 2021 NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform NeurIPS 2021 On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes ICML 2020 Autoregressive Energy Machines ICML 2019 Generalized Score Matching for Non-Negative Data JMLR 2019 Resampled Priors for Variational Autoencoders AISTATS 2019 Inference for determinantal point processes without spectral knowledge NeurIPS 2015