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Variational Inference

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Showing 1201–1250 of 2274 papers

TitleStatusHype
The Role of Mutual Information in Variational Classifiers—0
Sparse Gaussian Process Variational AutoencodersCode0
VarGrad: A Low-Variance Gradient Estimator for Variational InferenceCode1
Iterative Amortized Policy OptimizationCode1
Semi-parametric γ-ray modeling with Gaussian processes and variational inferenceCode0
Learning to Learn Variational Semantic MemoryCode0
Privacy-preserving Data Sharing on Vertically Partitioned Data—0
Probabilistic selection of inducing points in sparse Gaussian processesCode1
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning—0
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman FilterCode0
Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank DeterminationCode1
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation—0
Generating Diverse Translation from Model Distribution with Dropout—0
Flexible mean field variational inference using mixtures of non-overlapping exponential familiesCode0
Tensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank EstimationCode0
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition ModelingCode0
Learning from demonstration using products of experts: applications to manipulation and task prioritization—0
Variational Feature Disentangling for Fine-Grained Few-Shot Classification—0
Narrative Text Generation with a Latent Discrete PlanCode0
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuningCode1
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation—0
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation—0
Deep kernel processes—0
MCMC-Interactive Variational Inference—0
Relaxing the Constraints on Predictive Coding Models—0
Bayesian Policy Search for Stochastic Domains—0
Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational AutoencoderCode0
Bayesian Online Meta-Learning—0
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning—0
Mixture Representation Learning with Coupled Autoencoding Agents—0
Approximate Probabilistic Inference with Composed Flows—0
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition—0
f-Divergence Variational Inference—0
Stein Variational Gaussian ProcessesCode0
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints—0
AIN: Fast and Accurate Sequence Labeling with Approximate Inference NetworkCode1
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes—0
Tracking disease outbreaks from sparse data with Bayesian inference—0
Deep Switching Auto-Regressive Factorization:Application to Time Series ForecastingCode1
Learning more expressive joint distributions in multimodal variational methodsCode0
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior—0
Online Estimation and Community Detection of Network Point Processes for Event StreamsCode0
Quasi-symplectic Langevin Variational Autoencoder—0
Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios—0
Variational Mixture of Normalizing Flows—0
Stochastic Graph Recurrent Neural NetworkCode0
Robust, Accurate Stochastic Optimization for Variational Inference—0
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersCode0
Modulating Scalable Gaussian Processes for Expressive Statistical LearningCode0
Loss convergence in a causal Bayesian neural network of retail firm performanceCode0
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