| Deep Bayesian Structure Networks | Sep 25, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 | 5 |
| Finding Convincing Arguments Using Scalable Bayesian Preference Learning | Jun 6, 2018 | Active LearningVariational Inference | CodeCode Available | 0 | 5 |
| Deep Bayesian Self-Training | Nov 26, 2018 | ClusteringVariational Inference | CodeCode Available | 0 | 5 |
| Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) | Jun 9, 2016 | Document ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning | Dec 5, 2024 | Computational EfficiencyDeep Learning | CodeCode Available | 0 | 5 |
| Stein ICP for Uncertainty Estimation in Point Cloud Matching | Jun 7, 2021 | Autonomous DrivingDecision Making | CodeCode Available | 0 | 5 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Flexible mean field variational inference using mixtures of non-overlapping exponential families | Oct 14, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 | 5 |
| Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India | Dec 13, 2017 | BIG-bench Machine LearningVariational Inference | CodeCode Available | 0 | 5 |
| Flexible Tails for Normalizing Flows | Jun 22, 2024 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Barrier Frank-Wolfe for Marginal Inference | Nov 6, 2015 | Variational Inference | CodeCode Available | 0 | 5 |
| Stock Movement Prediction from Tweets and Historical Prices | Jul 1, 2018 | Feature EngineeringPrediction | CodeCode Available | 0 | 5 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Generalized Variational Inference: Three arguments for deriving new Posteriors | Apr 3, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| A Targeted Accuracy Diagnostic for Variational Approximations | Feb 24, 2023 | Computational EfficiencyDiagnostic | CodeCode Available | 0 | 5 |
| GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM | Jun 6, 2023 | Change DetectionDenoising | CodeCode Available | 0 | 5 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 | 5 |
| A Theoretically Grounded Application of Dropout in Recurrent Neural Networks | Dec 16, 2015 | Bayesian InferenceDeep Learning | CodeCode Available | 0 | 5 |
| Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression | Jul 17, 2021 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| From Patches to Images: A Nonparametric Generative Model | Aug 1, 2017 | DenoisingImage Inpainting | CodeCode Available | 0 | 5 |
| GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies | Jul 7, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 | 5 |
| Functional Variational Bayesian Neural Networks | Mar 14, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
