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Variational Inference

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TitleStatusHype
Control as Hybrid Inference—0
Variational Inference with Continuously-Indexed Normalizing FlowsCode0
Self-Reflective Variational Autoencoder—0
Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule—0
Meta-Learning Divergences of Variational Inference—0
All in the Exponential Family: Bregman Duality in Thermodynamic Variational InferenceCode0
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder—0
Neural Mixed Counting Models for Dispersed Topic Discovery—0
Learning Robot Skills with Temporal Variational Inference—0
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing FlowsCode0
Variational Orthogonal Features—0
On the Relationship Between Active Inference and Control as Inference—0
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal PosteriorsCode0
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data—0
Calibration of Model Uncertainty for Dropout Variational Inference—0
Learning to infer in recurrent biological networksCode0
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization—0
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF—0
Analytical Probability Distributions and EM-Learning for Deep Generative Networks—0
A Deterministic Approximation to Neural SDEs—0
PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons—0
Approximate Inference for Spectral Mixture Kernel—0
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks—0
Learning to Learn Kernels with Variational Random FeaturesCode0
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban MobilityCode0
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models—0
Bayesian Neural Network via Stochastic Gradient Descent—0
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning—0
Variational Inference and Learning of Piecewise-linear Dynamical Systems—0
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models—0
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics—0
Longitudinal Deep Kernel Gaussian Process Regression—0
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis—0
Correlated Mixed Membership Modeling of Somatic Mutations—0
Variational Hyper-Encoding Networks—0
Learning and Inference in Imaginary Noise Models—0
Variational Inference as Iterative Projection in a Bayesian Hilbert Space with Application to Robotic State Estimation—0
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian ProcessesCode0
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional SemanticsCode0
Parameters Estimation from the 21 cm signal using Variational Inference—0
Addressing Catastrophic Forgetting in Few-Shot ProblemsCode0
A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition—0
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent—0
Variational Inference for Learning Representations of Natural Language EditsCode0
On the Encoder-Decoder Incompatibility in Variational Text Modeling and BeyondCode0
Variational Policy Propagation for Multi-agent Reinforcement Learning—0
Particle-based Energetic Variational InferenceCode0
Scaling Bayesian inference of mixed multinomial logit models to very large datasets—0
Direct loss minimization algorithms for sparse Gaussian processesCode0
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning—0
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