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Variational Inference

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Showing 1701–1750 of 2274 papers

TitleStatusHype
DualVAE: Dual Disentangled Variational AutoEncoder for RecommendationCode0
A Variational Time Series Feature Extractor for Action PredictionCode0
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural NetworksCode0
Discriminative calibration: Check Bayesian computation from simulations and flexible classifierCode0
Scalable Recommendation with Poisson FactorizationCode0
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational InferenceCode0
Dynamic Word EmbeddingsCode0
Variational Boosting: Iteratively Refining Posterior ApproximationsCode0
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent VariablesCode0
Early Stopping is Nonparametric Variational InferenceCode0
Easy Variational Inference for Categorical Models via an Independent Binary ApproximationCode0
Discretely Relaxing Continuous Variables for tractable Variational InferenceCode0
Scalable Variational Causal Discovery Unconstrained by AcyclicityCode0
A Variational Edge Partition Model for Supervised Graph Representation LearningCode0
Effective Estimation of Deep Generative Language ModelsCode0
Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised LearningCode0
Scalable Variational Inference for Dynamical SystemsCode0
Discretely Indexed FlowsCode0
Topic Modeling on Health Journals with Regularized Variational InferenceCode0
Approximate Message Passing for Bayesian Neural NetworksCode0
Neural Dynamic Focused Topic ModelCode0
Community Detection in Weighted Multilayer Networks with Ambient NoiseCode0
Efficient Gradient-Free Variational Inference using Policy SearchCode0
Efficient Inference in Multi-task Cox Process ModelsCode0
TopicNet: Semantic Graph-Guided Topic DiscoveryCode0
Efficient Low Rank Gaussian Variational Inference for Neural NetworksCode0
Efficient Mixture Learning in Black-Box Variational InferenceCode0
Efficient Modeling of Latent Information in Supervised Learning using Gaussian ProcessesCode0
Approximate Inference for Stochastic Planning in Factored SpacesCode0
Approximate Inference for Fully Bayesian Gaussian Process RegressionCode0
Efficient Nonparametric Tensor Decomposition for Binary and Count DataCode0
Towards Autoencoding Variational Inference for Aspect-based Opinion SummaryCode0
Efficient Optimization of Loops and Limits with Randomized Telescoping SumsCode0
Discovering Discrete Latent Topics with Neural Variational InferenceCode0
Neural Markov Jump ProcessesCode0
Combining Model and Parameter Uncertainty in Bayesian Neural NetworksCode0
Variational Inference for Neyman-Scott ProcessesCode0
Neural Models for Documents with MetadataCode0
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian ProcessesCode0
Collapsed Variational Inference for Nonparametric Bayesian Group Factor AnalysisCode0
Collapsed Variational Bounds for Bayesian Neural NetworksCode0
Variational Search DistributionsCode0
A Variational Approach to Bayesian Phylogenetic InferenceCode0
Efficient Variational Inference for Sparse Deep Learning with Theoretical GuaranteeCode0
Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesCode0
Approximate Inference for Constructing Astronomical Catalogs from ImagesCode0
Compositional Score Modeling for Simulation-based InferenceCode0
Auxiliary Variational MCMCCode0
Towards Flexibility and Interpretability of Gaussian Process State-Space ModelCode0
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modelingCode0
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