| Amortized Variational Inference: When and Why? | Jul 20, 2023 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales | Oct 23, 2019 | MuJoCoVariational Inference | CodeCode Available | 0 |
| Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study | Jul 8, 2022 | Variational Inference | CodeCode Available | 0 |
| A Structured Variational Autoencoder for Contextual Morphological Inflection | Jun 10, 2018 | Morphological InflectionVariational Inference | CodeCode Available | 0 |
| ProDAG: Projected Variational Inference for Directed Acyclic Graphs | May 24, 2024 | Causal InferenceCombinatorial Optimization | CodeCode Available | 0 |
| Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography | Jul 30, 2024 | Variational Inference | CodeCode Available | 0 |
| Progressive Neural Network for Multi-Horizon Time Series Forecasting | Oct 30, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition | Jan 10, 2024 | Event DetectionTransfer Learning | CodeCode Available | 0 |
| β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers | Aug 31, 2020 | Bayesian InferenceData Summarization | CodeCode Available | 0 |
| Iterative Amortized Inference | Jul 24, 2018 | Inference OptimizationVariational Inference | CodeCode Available | 0 |
| Coupled Variational Recurrent Collaborative Filtering | Jun 11, 2019 | Collaborative FilteringRecommendation Systems | CodeCode Available | 0 |
| Iterative Neural Autoregressive Distribution Estimator NADE-k | Dec 1, 2014 | Density EstimationImage Generation | CodeCode Available | 0 |
| Iterative Neural Autoregressive Distribution Estimator (NADE-k) | Jun 5, 2014 | Density EstimationImage Generation | CodeCode Available | 0 |
| Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field | Dec 17, 2022 | DecoderVariational Inference | CodeCode Available | 0 |
| Stochastic Variational Inference | Jun 29, 2012 | ArticlesTopic Models | CodeCode Available | 0 |
| Universal Boosting Variational Inference | Jun 4, 2019 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| Learning GPLVM with arbitrary kernels using the unscented transformation | Jul 3, 2019 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 |
| Amortized Variational Deep Q Network | Nov 3, 2020 | Deep Reinforcement LearningEfficient Exploration | CodeCode Available | 0 |
| A Deep Factorization of Style and Structure in Fonts | Oct 2, 2019 | Variational Inference | CodeCode Available | 0 |
| Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic Optimization | Oct 29, 2018 | BIG-bench Machine LearningStochastic Optimization | CodeCode Available | 0 |
| Kernel Continual Learning | Jul 12, 2021 | Continual LearningVariational Inference | CodeCode Available | 0 |
| Variational Inference on the Boolean Hypercube with the Quantum Entropy | Nov 6, 2024 | Variational Inference | CodeCode Available | 0 |
| Kernel Semi-Implicit Variational Inference | May 29, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Knowing what you know in brain segmentation using Bayesian deep neural networks | Dec 3, 2018 | Brain SegmentationVariational Inference | CodeCode Available | 0 |
| AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation | Feb 1, 2022 | Computational Efficiencyparameter estimation | CodeCode Available | 0 |
