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Variational Inference

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TitleStatusHype
Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph CaptioningCode0
MetaKernel: Learning Variational Random Features with Limited LabelsCode0
Laplace Matching for fast Approximate Inference in Latent Gaussian ModelsCode0
Supervised multi-specialist topic model with applications on large-scale electronic health record dataCode0
What Are Bayesian Neural Network Posteriors Really Like?Code1
Variational Pedestrian Detection—0
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums—0
Variational Inference in high-dimensional linear regression—0
Outcome-Driven Reinforcement Learning via Variational Inference—0
Convolutional Normalizing Flows for Deep Gaussian Processes—0
Variational Inference for Category Recommendation in E-Commerce platforms—0
The computational asymptotics of Gaussian variational inference and the Laplace approximationCode0
Learning by example: fast reliability-aware seismic imaging with normalizing flowsCode1
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks—0
Generative Locally Linear EmbeddingCode1
Variational Inference MPC using Tsallis Divergence—0
Storchastic: A Framework for General Stochastic Automatic DifferentiationCode1
Variational Rejection Particle Filtering—0
SKID RAW: Skill Discovery from Raw Trajectories—0
Hamiltonian Policy Optimization in Reinforcement Learning—0
D3p -- A Python Package for Differentially-Private Probabilistic ProgrammingCode1
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method—0
Sparse Algorithms for Markovian Gaussian ProcessesCode0
Probabilistic Simplex Component Analysis—0
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise—0
FEW-SHOTLEARNING WITH WEAK SUPERVISION—0
Variational inference with a quantum computer—0
A variational inference framework for inverse problems—0
Less Suboptimal Learning and Control in Variational POMDPs—0
Monotonic Alpha-divergence Minimisation for Variational Inference—0
Lossless Compression using Continuously-Indexed Normalizing Flows—0
Generative Particle Variational Inference via Estimation of Functional Gradients—0
A practical tutorial on Variational BayesCode1
Moment-Based Variational Inference for Stochastic Differential Equations—0
Challenges and Opportunities in High-dimensional Variational Inference—0
Hamiltonian Policy Optimization—0
Automated Creative Optimization for E-Commerce AdvertisingCode0
Variational Laplace for Bayesian neural networks—0
An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations—0
Stein Variational Gradient Descent: many-particle and long-time asymptotics—0
Stochastic Aggregation in Graph Neural NetworksCode0
Deep Stochastic Volatility ModelCode1
Community Detection in Weighted Multilayer Networks with Ambient NoiseCode0
Automatic Feature Extraction for Heartbeat Anomaly DetectionCode0
Quantifying Variational Approximation for the Log-Partition Function—0
Structured Dropout Variational Inference for Bayesian Neural Networks—0
Tractable structured natural gradient descent using local parameterizations—0
Differentiable Particle Filtering via Entropy-Regularized Optimal TransportCode1
Scalable Vector Gaussian Information Bottleneck—0
Infinitely Deep Bayesian Neural Networks with Stochastic Differential EquationsCode1
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