| Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition | May 28, 2019 | Audio ClassificationBayesian Inference | CodeCode Available | 0 | 5 |
| Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors | Jul 9, 2021 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Gradient-based optimization for variational empirical Bayes multiple regression | Nov 21, 2024 | regressionVariational Inference | CodeCode Available | 0 | 5 |
| Learning GPLVM with arbitrary kernels using the unscented transformation | Jul 3, 2019 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 | 5 |
| Deconfounding Imitation Learning with Variational Inference | Nov 4, 2022 | Imitation LearningVariational 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 |
| Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem | Apr 16, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference | Jan 1, 2018 | Computational EfficiencyVariational Inference | CodeCode Available | 0 | 5 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Collapsed Variational Bounds for Bayesian Neural Networks | Dec 1, 2021 | Variational Inference | CodeCode Available | 0 | 5 |
| GFlowNets and variational inference | Oct 2, 2022 | DiversityReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure | Nov 22, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 | 5 |
| Analyses of Multi-collection Corpora via Compound Topic Modeling | Jun 17, 2019 | Topic ModelsVariational Inference | CodeCode Available | 0 | 5 |
| Globally Convergent Variational Inference | Jan 14, 2025 | Variational Inference | CodeCode Available | 0 | 5 |
| Combining Model and Parameter Uncertainty in Bayesian Neural Networks | Mar 18, 2019 | Bayesian InferenceModel Selection | CodeCode Available | 0 | 5 |
| Improved uncertainty quantification for neural networks with Bayesian last layer | Feb 21, 2023 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Latent variable model for high-dimensional point process with structured missingness | Feb 8, 2024 | DecoderGaussian Processes | 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 |
| Community Detection in Weighted Multilayer Networks with Ambient Noise | Feb 24, 2021 | Community DetectionVariational 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-parametric γ-ray modeling with Gaussian processes and variational inference | Oct 20, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Data Association with Gaussian Processes | Oct 16, 2018 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| A Variational Perspective on Generative Flow Networks | Oct 14, 2022 | Variational Inference | —Unverified | 0 | 0 |
| Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation | Feb 23, 2022 | Model SelectionVariational Inference | —Unverified | 0 | 0 |
| Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference | Jun 5, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
