| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Particle-based Energetic Variational Inference | Apr 14, 2020 | Variational Inference | CodeCode Available | 0 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 |
| Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings | Jun 5, 2019 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data | May 20, 2016 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Deep Recurrent Generative Decoder for Abstractive Text Summarization | Aug 2, 2017 | Abstractive Text SummarizationDecoder | CodeCode Available | 0 |
| VIFS: An End-to-End Variational Inference for Foley Sound Synthesis | Jun 8, 2023 | Speech Synthesistext-to-speech | CodeCode Available | 0 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Feb 12, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 |
| Particle Semi-Implicit Variational Inference | Jun 30, 2024 | Variational Inference | CodeCode Available | 0 |
| Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation | Nov 2, 2017 | Autonomous DrivingVariational Inference | CodeCode Available | 0 |
| Partitioned Variational Inference: A Framework for Probabilistic Federated Learning | Feb 24, 2022 | Federated LearningVariational Inference | CodeCode Available | 0 |
| Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) | Jun 9, 2016 | Document ClassificationVariational Inference | CodeCode Available | 0 |
| Variational inference for the multi-armed contextual bandit | Sep 10, 2017 | Multi-Armed BanditsReinforcement Learning | CodeCode Available | 0 |
| 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 |
| Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural Networks | Jun 23, 2019 | Bayesian InferenceRobust Speech Recognition | CodeCode Available | 0 |
| Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference | Apr 17, 2024 | Variational Inference | CodeCode Available | 0 |
| GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies | Jul 7, 2023 | Variational Inference | CodeCode Available | 0 |
| Deep Markov Spatio-Temporal Factorization | Mar 22, 2020 | ClusteringTime Series | CodeCode Available | 0 |
| GFlowNets and variational inference | Oct 2, 2022 | DiversityReinforcement Learning (RL) | CodeCode Available | 0 |
| A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry | Dec 31, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| On the Expressiveness of Approximate Inference in Bayesian Neural Networks | Sep 2, 2019 | Active LearningBayesian Inference | CodeCode Available | 0 |
| Globally Convergent Variational Inference | Jan 14, 2025 | Variational Inference | CodeCode Available | 0 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Jul 1, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 |
| Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows | Oct 31, 2023 | Variational Inference | CodeCode Available | 0 |
