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Variational Inference

767 directly classified papers

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Papers

Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling CVPR 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024
Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
Symmetric Equilibrium Learning of VAEs AISTATS 2024
Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach AISTATS 2024
Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024
Variational Resampling AISTATS 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024
Adversarial Purification with the Manifold Hypothesis AAAI 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection AAAI 2024
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024
Direct Amortized Likelihood Ratio Estimation AAAI 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NIPS 2024
On Divergence Measures for Training GFlowNets NIPS 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024