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Variational Inference

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TitleStatusHype
Discretely Relaxing Continuous Variables for tractable Variational InferenceCode1
Understanding and Accelerating Particle-Based Variational InferenceCode1
Bayesian Model-Agnostic Meta-LearningCode1
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and ReviewCode1
Sylvester Normalizing Flows for Variational InferenceCode1
Probabilistic Recurrent State-Space ModelsCode1
Variational Continual LearningCode1
Autoencoding Variational Inference For Topic ModelsCode1
Differentially Private Variational Inference for Non-conjugate ModelsCode1
Stein Variational Gradient Descent: A General Purpose Bayesian Inference AlgorithmCode1
Improving Variational Inference with Inverse Autoregressive FlowCode1
Automatic Differentiation Variational InferenceCode1
Variational Inference: A Review for StatisticiansCode1
Adversarial AutoencodersCode1
Learning Stochastic Recurrent NetworksCode1
Auto-Encoding Variational BayesCode1
Streaming Variational BayesCode1
Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature SelectionCode0
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace InferenceCode0
VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction—0
Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks—0
Branching Stein Variational Gradient Descent for sampling multimodal distributions—0
Variational Inference with Mixtures of Isotropic GaussiansCode0
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications—0
Bayesian Probabilistic Matrix Factorization—0
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy—0
Stability of Mean-Field Variational Inference—0
Variational Supervised Contrastive Learning—0
Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing—0
Rao-Blackwellised Reparameterisation Gradients—0
Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis—0
Variational Inference for Quantum HyperNetworks—0
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent—0
Amortized variational transdimensional inferenceCode0
MudiNet: Task-guided Disentangled Representation Learning for 5G Indoor Multipath-assisted Positioning—0
Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks—0
Variational Inference for Latent Variable Models in High Dimensions—0
Self-supervised Latent Space Optimization with Nebula Variational Coding—0
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification—0
Learning Distributions over Permutations and Rankings with Factorized Representations—0
Model Informed Flows for Bayesian Inference of Probabilistic Programs—0
Synonymous Variational Inference for Perceptual Image CompressionCode0
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference—0
Variational Deep Learning via Implicit Regularization—0
Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition—0
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent NetworksCode0
Efficient Training of Neural SDEs Using Stochastic Optimal Control—0
Exponential Convergence of CAVI for Bayesian PCA—0
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation—0
Training Latent Diffusion Models with Interacting Particle Algorithms—0
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