| Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts | Jul 5, 2024 | Variational Inference | CodeCode Available | 0 |
| Recursive Monte Carlo and Variational Inference with Auxiliary Variables | Mar 5, 2022 | AstronomyStochastic Optimization | CodeCode Available | 0 |
| Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty | May 1, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Content-based recommendations with Poisson factorization | Dec 1, 2014 | ArticlesRecommendation Systems | CodeCode Available | 0 |
| Learning minimal representations of stochastic processes with variational autoencoders | Jul 21, 2023 | Representation LearningVariational Inference | CodeCode Available | 0 |
| Reducing Reparameterization Gradient Variance | May 22, 2017 | Variational Inference | CodeCode Available | 0 |
| Learning more expressive joint distributions in multimodal variational methods | Sep 8, 2020 | ColorizationVariational Inference | CodeCode Available | 0 |
| Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning | May 1, 2017 | Model-based Reinforcement Learningreinforcement-learning | CodeCode Available | 0 |
| Yes, but Did It Work?: Evaluating Variational Inference | Feb 7, 2018 | DiagnosticVariational Inference | CodeCode Available | 0 |
| Learning Nonparametric Volterra Kernels with Gaussian Processes | Jun 10, 2021 | Gaussian ProcessesNumerical Integration | CodeCode Available | 0 |
| Consistency Regularization for Variational Auto-Encoders | May 31, 2021 | Image GenerationVariational Inference | CodeCode Available | 0 |
| Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models | Mar 13, 2017 | Variational Inference | CodeCode Available | 0 |
| Structured Variational Inference in Continuous Cox Process Models | Jun 7, 2019 | Numerical IntegrationUncertainty Quantification | CodeCode Available | 0 |
| Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding | Feb 23, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Structured Variational Inference in Unstable Gaussian Process State Space Models | Jul 16, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift | Jan 27, 2022 | Variational Inference | CodeCode Available | 0 |
| Using the Path of Least Resistance to Explain Deep Networks | Feb 17, 2025 | Variational Inference | CodeCode Available | 0 |
| Learning Space-Time Continuous Neural PDEs from Partially Observed States | Jul 9, 2023 | Variational Inference | CodeCode Available | 0 |
| CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models | Jan 13, 2020 | ClusteringTopic Models | CodeCode Available | 0 |
| Amortized variational transdimensional inference | Jun 5, 2025 | Bayesian InferenceBayesian Optimization | CodeCode Available | 0 |
| Conditional Injective Flows for Bayesian Imaging | Apr 15, 2022 | Image RestorationUncertainty Quantification | CodeCode Available | 0 |
| Variational Positive-incentive Noise: How Noise Benefits Models | Jun 13, 2023 | Variational Inference | CodeCode Available | 0 |
| Tensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank Estimation | Oct 13, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| VaiPhy: a Variational Inference Based Algorithm for Phylogeny | Mar 1, 2022 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks | May 30, 2019 | Bayesian InferenceMeta-Learning | CodeCode Available | 0 |
