| Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference | Apr 17, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Scalable Variational Causal Discovery Unconstrained by Acyclicity | Jul 6, 2024 | Causal Discoveryvalid | CodeCode Available | 0 | 5 |
| An Efficient Difference-of-Convex Solver for Privacy Funnel | Mar 2, 2024 | Variational 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 |
| Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates | Feb 26, 2025 | EpidemiologyVariational Inference | CodeCode Available | 0 | 5 |
| Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models | Jul 12, 2018 | Bayesian InferenceVariational Inference | 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 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| A Stein variational Newton method | Jun 8, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Semi-Amortized Variational Autoencoders | Feb 7, 2018 | Text GenerationVariational 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 |
| Semi-Implicit Variational Inference | May 28, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Deep Bayesian Structure Networks | Sep 25, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 | 5 |
| Deep Bayesian Self-Training | Nov 26, 2018 | ClusteringVariational 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 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 | 5 |
| Sequential Neural Models with Stochastic Layers | May 24, 2016 | Music ModelingVariational Inference | CodeCode Available | 0 | 5 |
| Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation | Aug 2, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell data | May 23, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Barrier Frank-Wolfe for Marginal Inference | Nov 6, 2015 | Variational Inference | CodeCode Available | 0 | 5 |
| SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient | Nov 11, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| From Patches to Images: A Nonparametric Generative Model | Aug 1, 2017 | DenoisingImage Inpainting | CodeCode Available | 0 | 5 |
| Functional Gradient Flows for Constrained Sampling | Oct 30, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
