conftrace_

evidence lower bound

68 papers

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Also known as

ELBO

Co-occurring keywords

variational inference (2069) variational autoencoder (1288) latent variable model (564) generative model (2892) bayesian inference (1907) posterior approximation (132) posterior collapse (55) importance sampling (318) bayesian neural network (201) gradient estimator (59)

Papers

VBF++: Variational Bayesian Fusion with Context-Aware Priors and Recommendation-Guided Adversarial Refinement for Multimodal Video Recommendation AAAI 2026
Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models ACL 2026
Unified Discrete Diffusion for Categorical Data JMLR 2025
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025
On the Natural Gradient of the Evidence Lower Bound JMLR 2025
EDMB: Edge Detector with Mamba WACV 2025
Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024
Particle Semi-Implicit Variational Inference NIPS 2024
Symmetric Equilibrium Learning of VAEs AISTATS 2024
Globally Convergent Variational Inference NIPS 2024
Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation AAAI 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NIPS 2024
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders ICML 2023
Uncertainty-aware Unsupervised Video Hashing AISTATS 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models NIPS 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference COLT 2023
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows NIPS 2023
Bounding Evidence and Estimating Log-Likelihood in VAE AISTATS 2023
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation EMNLP 2023
Latent SDEs on Homogeneous Spaces NIPS 2023
The ELBO of Variational Autoencoders Converges to a Sum of Entropies AISTATS 2023
Variational Gaussian Processes with Decoupled Conditionals NIPS 2023
Improving Variational Autoencoders with Density Gap-based Regularization NIPS 2022
Multi-Sample Training for Neural Image Compression NIPS 2022
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function AISTATS 2022