SOTAVerified

Variational Inference

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1450 of 2274 papers

TitleStatusHype
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis—0
Newtonian Monte Carlo: single-site MCMC meets second-order gradient methodsCode0
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric ModelsCode0
Lifted Hybrid Variational InferenceCode0
Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering—0
Scalable Gradients for Stochastic Differential EquationsCode2
All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference—0
Variational Inference for Sequential Data with Future Likelihood Estimates—0
On Implicit Regularization in -VAEs—0
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics—0
Variational Label Enhancement—0
Efficient non-conjugate Gaussian process factor models for spike countdata using polynomial approximations—0
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference—0
Approximate Inference for Fully Bayesian Gaussian Process RegressionCode0
Hierarchical Variational Imitation Learning of Control ProgramsCode0
End-to-End Pixel-Based Deep Active Inference for Body Perception and ActionCode0
Variational Metric Scaling for Metric-Based Meta-LearningCode0
Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement—0
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines—0
Pseudo-Encoded Stochastic Variational Inference—0
A Closer Look at Disentangling in β-VAE—0
Frequentist Consistency of Generalized Variational Inference—0
Solving Bayesian Inverse Problems via Variational Autoencoders—0
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression—0
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning—0
Scalable Bayesian Preference Learning for CrowdsCode0
Deep Probabilistic Models to Detect Data Poisoning Attacks—0
Stochastic Variational Inference via Upper Bound—0
Efficient Approximate Inference with Walsh-Hadamard Variational Inference—0
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs—0
Differentially Private Federated Variational InferenceCode0
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process ModelCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Continual Learning with Adaptive Weights (CLAW)—0
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation—0
Generalized Transformation-based Gradient—0
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse—0
GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models—0
A Rule for Gradient Estimator Selection, with an Application to Variational Inference—0
Statistical Inference in Mean-Field Variational Bayes—0
Amortized Population Gibbs Samplers with Neural Sufficient StatisticsCode0
Unsupervised Neural Machine Translation with Future Rewarding—0
Neural Topic Model with Reinforcement Learning—0
Continual Multi-task Gaussian ProcessesCode0
Energy-Inspired Models: Learning with Sampler-Induced DistributionsCode0
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning—0
Thompson Sampling via Local UncertaintyCode0
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation—0
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation—0
Semi-Implicit Stochastic Recurrent Neural Networks—0
Show:102550
← PrevPage 29 of 46Next →

No leaderboard results yet.