| 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 |
