Variational Inference
898 papers
Papers per year
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28
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Papers
Generalized Variational Inference via Optimal Transport
AAAI 2024
Globally Convergent Variational Inference
NeurIPS 2024
Idiographic Personality Gaussian Process for Psychological Assessment
NeurIPS 2024
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
NeurIPS 2024
Improved off-policy training of diffusion samplers
NeurIPS 2024
Inferring stochastic low-rank recurrent neural networks from neural data
NeurIPS 2024
Learning Diffusion Priors from Observations by Expectation Maximization
NeurIPS 2024
Learning Sparse Codes with Entropy-Based ELBOs
AISTATS 2024
Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals
NeurIPS 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
AISTATS 2024
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems
JMLR 2024
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable
AISTATS 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
AISTATS 2024
Mixed variational flows for discrete variables
AISTATS 2024
Mutual Information Estimation via Normalizing Flows
NeurIPS 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation
AISTATS 2024
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
CVPR 2024
On Divergence Measures for Training GFlowNets
NeurIPS 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
AAAI 2024
On the Quantification of Image Reconstruction Uncertainty Without Training Data
WACV 2024
Optimising Distributions with Natural Gradient Surrogates
AISTATS 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
NeurIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
NeurIPS 2024
Preferential Normalizing Flows
NeurIPS 2024
Provable Posterior Sampling with Denoising Oracles via Tilted Transport
NeurIPS 2024