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Variational Inference

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TitleStatusHype
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence—0
How particular is the physics of the free energy principle?—0
Scalable Cross Validation Losses for Gaussian Process Models—0
Geometric variational inference—0
Challenges and Opportunities in High Dimensional Variational Inference—0
Nonlinear Hawkes Process with Gaussian Process Self Effects—0
Robust Unsupervised Multi-Object Tracking in Noisy EnvironmentsCode0
Boosting Variational Inference With Locally Adaptive Step-Sizes—0
Aleatoric uncertainty for Errors-in-Variables models in deep regression—0
AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond—0
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data—0
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
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums—0
Variational Pedestrian Detection—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
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks—0
Variational Inference MPC using Tsallis Divergence—0
Variational Rejection Particle Filtering—0
SKID RAW: Skill Discovery from Raw Trajectories—0
Hamiltonian Policy Optimization in Reinforcement Learning—0
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
Moment-Based Variational Inference for Stochastic Differential Equations—0
Challenges and Opportunities in High-dimensional Variational Inference—0
Generative Particle Variational Inference via Estimation of Functional Gradients—0
Automated Creative Optimization for E-Commerce AdvertisingCode0
Hamiltonian Policy Optimization—0
Variational Laplace for Bayesian neural networks—0
An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations—0
Stochastic Aggregation in Graph Neural NetworksCode0
Stein Variational Gradient Descent: many-particle and long-time asymptotics—0
Automatic Feature Extraction for Heartbeat Anomaly DetectionCode0
Community Detection in Weighted Multilayer Networks with Ambient NoiseCode0
Quantifying Variational Approximation for the Log-Partition Function—0
Structured Dropout Variational Inference for Bayesian Neural Networks—0
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