| Efficient Low Rank Gaussian Variational Inference for Neural Networks | Dec 1, 2020 | Variational Inference | CodeCode Available | 0 | 5 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Efficient Mixture Learning in Black-Box Variational Inference | Jun 11, 2024 | Density EstimationVariational 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 |
| Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning | Mar 28, 2023 | Computational EfficiencyRepresentation Learning | CodeCode Available | 0 | 5 |
| A Spectral Approach to Gradient Estimation for Implicit Distributions | Jun 7, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows | Oct 31, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| A Joint Learning Model with Variational Interaction for Multilingual Program Translation | Aug 25, 2024 | DisentanglementTranslation | CodeCode Available | 0 | 5 |
| Effective Estimation of Deep Generative Language Models | Apr 17, 2019 | Bayesian OptimisationLanguage Modelling | CodeCode Available | 0 | 5 |
| Efficient Gradient-Free Variational Inference using Policy Search | Jul 1, 2018 | Efficient ExplorationVariational 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 |
| Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box | Apr 11, 2023 | Probabilistic ProgrammingStochastic Optimization | CodeCode Available | 0 | 5 |
| Black box variational inference for state space models | Nov 23, 2015 | State Space ModelsTime Series | CodeCode Available | 0 | 5 |
| ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks | Jul 30, 2018 | Data AugmentationVariational Inference | CodeCode Available | 0 | 5 |
| CARE: Certifiably Robust Learning with Reasoning via Variational Inference | Sep 12, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Black-box Variational Inference for Stochastic Differential Equations | Feb 9, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| A Stein variational Newton method | Jun 8, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks | Sep 23, 2022 | regressionVariational Inference | 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 |
| Dynamic Word Embeddings | Feb 27, 2017 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference | Jul 1, 2020 | AllVariational Inference | CodeCode Available | 0 | 5 |
| Early Stopping is Nonparametric Variational Inference | Apr 6, 2015 | Variational Inference | CodeCode Available | 0 | 5 |
| CCSL: A Causal Structure Learning Method from Multiple Unknown Environments | Nov 18, 2021 | Causal DiscoveryClustering | 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 |
