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Variational Inference

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Showing 1851–1900 of 2274 papers

TitleStatusHype
On the optimization and pruning for Bayesian deep learningCode0
Flexible Amortized Variational Inference in qBOLD MRICode0
Flexible mean field variational inference using mixtures of non-overlapping exponential familiesCode0
Variational Deep Semantic Hashing for Text DocumentsCode0
Flexible Tails for Normalizing FlowsCode0
TrajPRed: Trajectory Prediction with Region-based Relation LearningCode0
Projective Integral Updates for High-Dimensional Variational InferenceCode0
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational InferenceCode0
Transformation Models for Flexible Posteriors in Variational BayesCode0
On the Relationship Between Variational Inference and Auto-Associative MemoryCode0
Censor Dependent Variational InferenceCode0
SoftCVI: Contrastive variational inference with self-generated soft labelsCode0
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural TransportCode0
Free-Form Variational Inference for Gaussian Process State-Space ModelsCode0
Importance Weighted Hierarchical Variational InferenceCode0
Sparse Algorithms for Markovian Gaussian ProcessesCode0
From Patches to Images: A Nonparametric Generative ModelCode0
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement LearningCode0
Sparse Bayesian Generative Modeling for Compressive SensingCode0
Fully Bayesian VIB-DeepSSMCode0
Design of Communication Systems using Deep Learning: A Variational Inference PerspectiveCode0
An Efficient Difference-of-Convex Solver for Privacy FunnelCode0
Variational Inference for Sparse Gaussian Process Modulated Hawkes ProcessCode0
Functional Gradient Flows for Constrained SamplingCode0
Analytical Approximation of the ELBO Gradient in the Context of the Clutter ProblemCode0
Sparse Gaussian Process Variational AutoencodersCode0
Functional Variational Bayesian Neural NetworksCode0
Optimising Distributions with Natural Gradient SurrogatesCode0
Function Space Particle Optimization for Bayesian Neural NetworksCode0
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network ApproachCode0
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning ApproachCode0
CCSL: A Causal Structure Learning Method from Multiple Unknown EnvironmentsCode0
Orthogonally Decoupled Variational Gaussian ProcessesCode0
Variational Delayed Policy OptimizationCode0
Overcoming Mean-Field Approximations in Recurrent Gaussian Process ModelsCode0
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational InferenceCode0
Tree-based variational inference for Poisson log-normal modelsCode0
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture ModelsCode0
Dep-L_0: Improving L_0-based Network Sparsification via Dependency ModelingCode0
Deep Variational Implicit ProcessesCode0
Gaussian Process-Gated Hierarchical Mixtures of ExpertsCode0
Analyses of Multi-collection Corpora via Compound Topic ModelingCode0
Neural Causal Graph Collaborative FilteringCode0
Sparse Variational Inference: Bayesian Coresets from ScratchCode0
Parametric Gaussian Process Regression for Big DataCode0
CARE: Certifiably Robust Learning with Reasoning via Variational InferenceCode0
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsCode0
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational InferenceCode0
Generalized Variational Inference: Three arguments for deriving new PosteriorsCode0
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