conftrace_

posterior approximation

132 papers

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Co-occurring keywords

variational inference (2069) bayesian inference (1907) bayesian neural network (201) markov chain monte carlo (725) uncertainty quantification (1393) approximate inference (253) amortized inference (102) gaussian process (1200) generative model (2892) normalizing flow (354)

Papers

Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation AAAI 2026
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching JMLR 2025
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025
Scalable and Adaptive Variational Bayes Methods for Hawkes Processes JMLR 2025
Training-Free Medical Image Inverses via Bi-Level Guided Diffusion Models WACV 2025
Reparameterized Variational Rejection Sampling AISTATS 2024
Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024
Streaming Bayes GFlowNets NIPS 2024
Simulation-Based Stacking AISTATS 2024
Generalized Variational Inference via Optimal Transport AAAI 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024
Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024
Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box JMLR 2024
Coreset Markov chain Monte Carlo AISTATS 2024
Low-rank Variational Bayes correction to the Laplace method JMLR 2024
Variational Inference with Gaussian Score Matching NIPS 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023
Gradient-Free Kernel Stein Discrepancy NIPS 2023
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference NIPS 2023
MixFlows: principled variational inference via mixed flows ICML 2023
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data ICML 2023
The Bayesian Learning Rule JMLR 2023
A Targeted Accuracy Diagnostic for Variational Approximations AISTATS 2023