| Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks | Sep 23, 2022 | regressionVariational Inference | CodeCode Available | 0 | 5 |
| Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature | Mar 9, 2023 | Active LearningBayesian Inference | CodeCode Available | 0 | 5 |
| CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models | Jan 13, 2020 | ClusteringTopic Models | CodeCode Available | 0 | 5 |
| Black Box Variational Inference | Dec 31, 2013 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 | 5 |
| Black-box Coreset Variational Inference | Nov 4, 2022 | Bayesian InferenceData Summarization | CodeCode Available | 0 | 5 |
| Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations | Jun 7, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models | Mar 13, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Automated Creative Optimization for E-Commerce Advertising | Feb 28, 2021 | AutoMLClick-Through Rate Prediction | CodeCode Available | 0 | 5 |
| Amortized variational transdimensional inference | Jun 5, 2025 | Bayesian InferenceBayesian Optimization | CodeCode Available | 0 | 5 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 | 5 |
| Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations | Nov 5, 2018 | Recommendation SystemsVariational Inference | CodeCode Available | 0 | 5 |
| Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models | Jul 12, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Bijectors.jl: Flexible transformations for probability distributions | Oct 16, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific Quantification | Mar 24, 2017 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Bidirectional Convolutional Poisson Gamma Dynamical Systems | Dec 1, 2020 | Bayesian InferenceSentence | CodeCode Available | 0 | 5 |
| Learning to Learn Kernels with Variational Random Features | Jun 11, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Content-based recommendations with Poisson factorization | Dec 1, 2014 | ArticlesRecommendation Systems | CodeCode Available | 0 | 5 |
| Context Selection for Embedding Models | Dec 1, 2017 | Recommendation SystemsVariational Inference | CodeCode Available | 0 | 5 |
| A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning | Jun 16, 2023 | Bayesian InferenceMeta-Learning | CodeCode Available | 0 | 5 |
| Automatic Feature Extraction for Heartbeat Anomaly Detection | Feb 24, 2021 | Anomaly DetectionDecoder | CodeCode Available | 0 | 5 |
| A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty | Jul 5, 2023 | modelVariational Inference | CodeCode Available | 0 | 5 |
| Adaptive RKHS Fourier Features for Compositional Gaussian Process Models | Jul 1, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Automatic structured variational inference | Feb 3, 2020 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 | 5 |
| Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam | Jun 13, 2018 | Reinforcement LearningStochastic Optimization | CodeCode Available | 0 | 5 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects | Aug 9, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 | 5 |
| Manifold Gaussian Variational Bayes on the Precision Matrix | Oct 26, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 | 5 |
| Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning | May 10, 2021 | Image Paragraph CaptioningLanguage Modeling | CodeCode Available | 0 | 5 |
| MixFlows: principled variational inference via mixed flows | May 16, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Convolutional Normalizing Flows | Nov 7, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Auxiliary Variational MCMC | May 1, 2019 | regressionVariational Inference | CodeCode Available | 0 | 5 |
| MetaKernel: Learning Variational Random Features with Limited Labels | May 8, 2021 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 | 5 |
| Copula-like Variational Inference | Apr 15, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information | Mar 5, 2023 | Missing ValuesVariational Inference | CodeCode Available | 0 | 5 |
| Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization | Dec 6, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows | Jun 28, 2020 | validVariational Inference | CodeCode Available | 0 | 5 |
| Bernstein Flows for Flexible Posteriors in Variational Bayes | Feb 11, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes | Jun 23, 2022 | Point ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs | Sep 14, 2022 | Data IntegrationDimensionality Reduction | CodeCode Available | 0 | 5 |
| Modular Deep Probabilistic Programming | May 1, 2019 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 | 5 |
| Enhanced Variational Inference with Dyadic Transformation | Jan 30, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Coupled Variational Bayes via Optimization Embedding | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Coupled Variational Recurrent Collaborative Filtering | Jun 11, 2019 | Collaborative FilteringRecommendation Systems | CodeCode Available | 0 | 5 |
| Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding | Feb 23, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Energy-Inspired Models: Learning with Sampler-Induced Distributions | Oct 31, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
