| Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature | Mar 9, 2023 | Active LearningBayesian 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 |
| Automated Creative Optimization for E-Commerce Advertising | Feb 28, 2021 | AutoMLClick-Through Rate Prediction | CodeCode Available | 0 | 5 |
| Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models | Feb 26, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 | 5 |
| Auto-Encoding Variational Neural Machine Translation | Jul 27, 2018 | Machine TranslationSentence | CodeCode Available | 0 | 5 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics | May 6, 2020 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference | Jan 8, 2019 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 | 5 |
| Manifold Gaussian Variational Bayes on the Precision Matrix | Oct 26, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Generalized Variational Inference: Three arguments for deriving new Posteriors | Apr 3, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Enhanced Variational Inference with Dyadic Transformation | Jan 30, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models | Sep 23, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Energy-Inspired Models: Learning with Sampler-Induced Distributions | Oct 31, 2019 | Variational Inference | 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 |
| A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry | Dec 31, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Feb 12, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 | 5 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Jul 1, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 | 5 |
| Structured Recognition for Generative Models with Explaining Away | Sep 12, 2022 | Density EstimationHippocampus | CodeCode Available | 0 | 5 |
| End-to-End Pixel-Based Deep Active Inference for Body Perception and Action | Dec 28, 2019 | 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 |
| Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling | Oct 12, 2021 | modelVariational Inference | CodeCode Available | 0 | 5 |
| Amortised Inference in Bayesian Neural Networks | Sep 6, 2023 | Meta-LearningVariational Inference | CodeCode Available | 0 | 5 |
| Importance Weighted Hierarchical Variational Inference | May 8, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes | May 27, 2017 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Mixture Learning in Black-Box Variational Inference | Jun 11, 2024 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Nonparametric Tensor Decomposition for Binary and Count Data | Jan 15, 2024 | Tensor DecompositionVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| A deep generative model for gene expression profiles from single-cell RNA sequencing | Sep 7, 2017 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Low Rank Gaussian Variational Inference for Neural Networks | Dec 1, 2020 | Variational Inference | CodeCode Available | 0 | 5 |
| Efficient Optimization of Loops and Limits with Randomized Telescoping Sums | May 16, 2019 | Meta-LearningVariational Inference | CodeCode Available | 0 | 5 |
| MixFlows: principled variational inference via mixed flows | May 16, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| A Deep Factorization of Style and Structure in Fonts | Oct 2, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Effective Estimation of Deep Generative Language Models | Apr 17, 2019 | Bayesian OptimisationLanguage Modelling | CodeCode Available | 0 | 5 |
| A Theoretically Grounded Application of Dropout in Recurrent Neural Networks | Dec 16, 2015 | Bayesian InferenceDeep Learning | CodeCode Available | 0 | 5 |
| A Targeted Accuracy Diagnostic for Variational Approximations | Feb 24, 2023 | Computational EfficiencyDiagnostic | CodeCode Available | 0 | 5 |
| Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning | Mar 28, 2023 | Computational EfficiencyRepresentation Learning | CodeCode Available | 0 | 5 |
| Asynchronous Temporal Fields for Action Recognition | Dec 19, 2016 | Action ClassificationAction Recognition | CodeCode Available | 0 | 5 |
| Early Stopping is Nonparametric Variational Inference | Apr 6, 2015 | Variational Inference | CodeCode Available | 0 | 5 |
| Easy Variational Inference for Categorical Models via an Independent Binary Approximation | May 31, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Asymmetric Variational Autoencoders | Nov 20, 2017 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| A Structured Variational Autoencoder for Contextual Morphological Inflection | Jun 10, 2018 | Morphological InflectionVariational Inference | CodeCode Available | 0 | 5 |
| DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation | Jan 10, 2024 | Collaborative FilteringDisentanglement | CodeCode Available | 0 | 5 |
| All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference | Jul 1, 2020 | AllVariational Inference | CodeCode Available | 0 | 5 |
| Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks | Mar 19, 2023 | Bayesian InferenceHyperspectral Unmixing | CodeCode Available | 0 | 5 |
| Dropout Inference in Bayesian Neural Networks with Alpha-divergences | Mar 8, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| A Stein variational Newton method | Jun 8, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification | Aug 6, 2020 | DisentanglementPerson Re-Identification | CodeCode Available | 0 | 5 |
| Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives | Oct 9, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
