variational bound

Structured IB: Improving Information Bottleneck with Structured Feature Learning AAAI 2025 Neural Diffusion Models ICML 2024 Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NeurIPS 2024 Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization NeurIPS 2022 Variational Inference with Locally Enhanced Bounds for Hierarchical Models ICML 2022 Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021 Denoising Diffusion Probabilistic Models NeurIPS 2020 Neural Methods for Point-wise Dependency Estimation NeurIPS 2020 On Variational Bounds of Mutual Information ICML 2019 A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds ALT 2017 Dynamic Importance Sampling for Anytime Bounds of the Partition Function NeurIPS 2017 Perturbative Black Box Variational Inference NeurIPS 2017 Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines AISTATS 2016 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 Bounds on marginal probability distributions NeurIPS 2008 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007